14.2.11 Fuzzy Clustering, Fuzzy Classification Techniques

Chapter Contents (Back)
Fuzzy Clustering. Clustering. C-Means Clustering. Each data point belongs to a cluster to some degree (i.e. fuzzy membership). So has a rating for multiple clusters. See also Fuzzy Sets, Fuzzy Logic.

Gu, T., and Dubuisson, B.,
A Loose-Pattern Process Approach to Clustering Fuzzy Data Sets,
PAMI(7), No. 3, May 1985, pp. 366-372. BibRef 8505

Hathaway, R.J.[Richard J.], Bezdek, J.C.[James C.],
Local convergence of the fuzzy c-Means algorithms,
PR(19), No. 6, 1986, pp. 477-480.
WWW Version. 0309
BibRef

Hathaway, R.J., Bezdek, J.C., Davenport, J.W.,
On Relational Data Versions of C-Means Algorithms,
PRL(17), No. 6, May 15 1996, pp. 607-612. 9607
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Hathaway, R.J.[Richard J.], Davenport, J.W.[John W.], Bezdek, J.C.[James C.],
Relational duals of the C-means clustering algorithms,
PR(22), No. 2, 1989, pp. 205-212.
WWW Version. 0309
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Hathaway, R.J.[Richard J.], Bezdek, J.C.[James C.],
Nerf c-means: Non-Euclidean relational fuzzy clustering,
PR(27), No. 3, March 1994, pp. 429-437.
WWW Version. 0401
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Hathaway, R.J.[Richard J.], Bezdek, J.C.[James C.],
Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm,
PRL(23), No. 1-3, January 2002, pp. 151-160.
HTML Version. 0201
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Cannon, R.L., Dave, J.V., and Bezdek, J.C.,
Efficient Implementation of the Fuzzy C-Means Clustering Algorithm,
PAMI(8), No. 2, March 1986, pp. 248-255. BibRef 8603

Tsao, E.C.K.[Eric Chen-Kuo], Bezdek, J.C.[James C.], Pal, N.R.[Nikhil R.],
Fuzzy Kohonen clustering networks,
PR(27), No. 5, May 1994, pp. 757-764.
WWW Version. 0401
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Cannon, R.L.[Robert L.], Dave, J.V.[Jitendra V.], Bezdek, J.C.[James C.], and Trivedi, M.M.[Mohan M.],
Segmentation of a Thematic Mapper Image Using the Fuzzy C-Means Clustering Algorithms,
GeoRS(24), No. 3, May 1986, pp. 400-408.
IEEE Top Reference. BibRef 8605

Trivedi, M.M.[Mohan M.], and Bezdek, J.C.[James C.],
Low-level Segmentation of Aerial Images Using Fuzzy Clustering,
SMC(16), No. 4, July 1986, pp. 589- 598. BibRef 8607

Ismail, M.A., Selim, S.Z.[Shokri Z.],
Fuzzy C-Means: Optimality of solutions and effective termination of the algorithm,
PR(19), No. 6, 1986, pp. 481-485.
WWW Version. 0309
See also K-Means-Type Algorithms: A Generalized Convergence Theorem and Characterization of Local Optimality. See also On the Local Optimality of the Fuzzy ISODATA Clustering Algorithm. BibRef

Selim, S.Z.[Shokri Z.], Ismail, M.A.,
Soft clustering of multidimensional data: a semi-fuzzy approach,
PR(17), No. 5, 1984, pp. 559-568.
WWW Version. 0309
BibRef

Selim, S.Z.[Shokri Z.],
Comments on: optimality test for fixed points,
PR(23), No. 11, 1990, pp. 1307-1308.
WWW Version. 0401
See also Optimality tests for fixed points of the fuzzy c-means algorithm. BibRef

Kamel, M.S.[Mohamed S.], Selim, S.Z.[Shokri Z.],
New algorithms for solving the fuzzy clustering problem,
PR(27), No. 3, March 1994, pp. 421-428.
WWW Version. 0401
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Kamel, M.S., Selim, S.Z.[Shokri Z.],
A thresholded fuzzy c-means algorithm for semi-fuzzy clustering,
PR(24), No. 9, 1991, pp. 825-833.
WWW Version. 0401
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Al-Sultan, K.S.[Khaled S.], Selim, S.Z.[Shokri Z.],
A global algorithm for the fuzzy clustering problem,
PR(26), No. 9, September 1993, pp. 1357-1361.
WWW Version. 0401
See also Tabu search approach to the clustering problem, A. BibRef

Kent, J.T., and Mardia, K.V.,
Spatial Classification Using Fuzzy Membership Models,
PAMI(10), No. 5, September 1988, pp. 659-671.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 8809

Lopez de Mantaras, R., and Valverde, L.,
New Results in Fuzzy Clustering Based on the Concept of Indistinguishability Relation,
PAMI(10), No. 5, September 1988, pp. 754-757.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 8809

Gath, I., and Geva, A.B.,
Unsupervised Optimal Fuzzy Clustering,
PAMI(11), No. 7, July 1989, pp. 773-780.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 8907

Policker, S., Geva, A.B.,
A New Algorithm for Time Series Prediction by Temporal Fuzzy Clustering,
ICPR00(Vol II: 728-731).
IEEE DOI Link
HTML Version. 0009
BibRef

Babu, G.P.[G. Phanendra], Murty, M.N.[M. Narasimha],
Clustering with evolution strategies,
PR(27), No. 2, February 1994, pp. 321-329.
WWW Version. 0401
BibRef

Asharaf, S., Murty, M.N.[M. Narasimha],
An adaptive rough fuzzy single pass algorithm for clustering large data sets,
PR(36), No. 12, December 2003, pp. 3015-3018.
WWW Version. 0310
BibRef

Asharaf, S., Murty, M.N.[M. Narasimha], Shevade, S.K.,
Rough set based incremental clustering of interval data,
PRL(27), No. 6, 15 April 2006, pp. 515-519.
WWW Version. 0604
Clustering; Leader; Interval data; Rough set See also Rough support vector clustering. BibRef

Lenart, C.[Cristian],
Defining separability of two fuzzy clusters by a fuzzy decision hyperplane,
PR(26), No. 9, September 1993, pp. 1351-1356.
WWW Version. 0401
BibRef

Marsililibelli, S., Muller, A.,
Adaptive Fuzzy Pattern-Recognition in the Anaerobic-Digestion Process,
PRL(17), No. 6, May 15 1996, pp. 651-659. 9607
BibRef

Bandemer, H.,
Specifying Fuzzy Data from Grey-Tone Pictures for Pattern-Recognition,
PRL(17), No. 6, May 15 1996, pp. 585-592. 9607
BibRef
And: Correction: PRL(17), No. 13, November 25 1996, pp. 1413-1413. BibRef

Beni, G., Liu, X.M.,
A Least Biased Fuzzy Clustering Method,
PAMI(16), No. 9, September 1994, pp. 954-960.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9409

Man, Y., Gath, I.,
Detection and Separation of Ring-Shaped Clusters Using Fuzzy Clustering,
PAMI(16), No. 8, August 1994, pp. 855-861.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9408

Cai, Y.Y., Loh, H.T., Nee, A.Y.C.,
Qualitative Primitive Identification Using Fuzzy Clustering and Invariant Approach,
IVC(14), No. 7, July 1996, pp. 451-464.
WWW Version. 9607
BibRef

Chen, N.X., Bedrosian, S.D.,
Effect of Fuzzy Membership on Recognition of Gray Level Images,
PRL(4), 1986, pp. 443-447. BibRef 8600

Binaghi, E., Madella, P., Montesano, M.G., Rampini, A.,
Fuzzy Contextual Classification of Multisource Remote Sensing Images,
GeoRS(35), No. 2, March 1997, pp. 326-340.
IEEE Top Reference. 9704
BibRef

Binaghi, E., Gallo, I., Pepe, M.,
A cognitive pyramid for contextual classification of remote sensing images,
GeoRS(41), No. 12, December 2003, pp. 2906-2922.
IEEE Abstract. IEEE Top Reference. 0402
BibRef

Gallo, I.[Ignazio], Binaghi, E.[Elisabetta],
Information Extraction and Classification from Free Text Using a Neural Approach,
CIARP07(921-929).
Springer DOI Link 0711
BibRef

Gath, I., Iskoz, A.S., Vancutsem, B.,
Data Induced Metric and Fuzzy Clustering of Nonconvex Patterns of Arbitrary Shape,
PRL(18), No. 6, June 1997, pp. 541-553. 9710
BibRef

Mannan, B., Roy, J., Ray, A.K.,
Fuzzy Artmap Supervised Classification of Multispectral Remotely Sensed Images,
JRS(19), No. 4, March 10 1998, pp. 767-774. 9803
BibRef

Tolias, Y.A., Panas, S.M.,
Image Segmentation by a Fuzzy Clustering-Algorithm Using Adaptive Spatially Constrained Membership Functions,
SMC-A(28), No. 3, May 1998, pp. 359-369.
IEEE Top Reference. 9805
See also Fuzzy Vessel Tracking Algorithm for Retinal Images Based on Fuzzy Clustering, A. BibRef

Mari, M., Dellepiane, S.G.,
A Nonlinear Image Processing Approach Through Fuzzy Measures,
PRL(18), No. 11-13, November 1997, pp. 1109-1115. 9806
BibRef

Dellepiane, S.G., Fontana, F., Vernazza, G.L.,
Nonlinear Image Labeling for Multivalued Segmentation,
IP(5), No. 3, March 1996, pp. 429-446.
IEEE DOI Link BibRef 9603

Israel, S.A., Kasabov, N.K.,
Statistical, Connectionist, and Fuzzy Inference Techniques for Image Classification,
JEI(6), No. 3, July 1997, pp. 337-347. 9807
BibRef

Boninsegna, M., Coianiz, T., Trentin, E.,
Estimating the Crowding Level with a Neuro-Fuzzy Classifier,
JEI(6), No. 3, July 1997, pp. 319-328. 9807
BibRef

Cheung, K.F.,
Fuzzy One-Mean Algorithm: Formulation, Convergence Analysis, and Applications,
JIFS(5), No. 4, 1997, pp. 323-332. 9809
BibRef

Somasundaram, A., Somasundaram, S.,
Domination in Fuzzy Graphs: I,
PRL(19), No. 9, 31 July 1998, pp. 787-791. BibRef 9807

Singh, S.[Sameer],
Effect of noise on generalisation in massively parallel fuzzy systems,
PR(31), No. 11, November 1998, pp. 1767-1775.
WWW Version. BibRef 9811

Wu, P.S.[Paul S.], Li, M.[Ming],
Supervised and unsupervised fuzzy-adaptive Hamming net,
PR(32), No. 10, October 1999, pp. 1801-1816.
WWW Version. BibRef 9910

Singh, S.,
A Single Nearest Neighbor Fuzzy Approach for Pattern Recognition,
PRAI(13), No. 1, February 1999, pp. 49. BibRef 9902

Dinda, T.K.[Tapan K.], Ray, K.S.[Kumar S.], Chakraborty, M.K.[Mihir K.],
Fuzzy relational calculus approach to multidimensional pattern classification,
PR(32), No. 6, June 1999, pp. 973-995.
WWW Version. BibRef 9906

Ray, K.S., Dinda, T.K.,
Pattern classification using fuzzy relational calculus,
SMC-B(33), No. 1, February 2003, pp. 1-16.
IEEE Top Reference. 0301
BibRef

Melgani, F., Al Hashemy, B.A.R., Taha, S.M.R.,
An Explicit Fuzzy Supervised Classification Method for Multispectral Remote Sensing Images,
GeoRS(38), No. 1, January 2000, pp. 287-295.
IEEE Top Reference. 0002
BibRef

Betanzos, A.A.[A. Alonso], Varela, B.A.[B. Arcay], Martínez, A.C.[A. Castro],
Analysis and evaluation of hard and fuzzy clustering segmentation techniques in burned patient images,
IVC(18), No. 13, October 2000, pp. 1045-1054.
WWW Version. 0008
BibRef

Ménard, M.[Michel], Demko, C.[Christophe], Loonis, P.[Pierre],
The fuzzy C+2-Means: solving the ambiguity rejection in clustering,
PR(33), No. 7, July 2000, pp. 1219-1237.
WWW Version. 0005
BibRef

Liew, A.W.C., Leung, S.H., Lau, W.H.,
Fuzzy image clustering incorporating spatial continuity,
VISP(147), No. 2, April 2000, pp. 185. 0005
BibRef

Ozols, J., Borisov, A.,
Fuzzy classification based on pattern projections analysis,
PR(34), No. 4, April 2001, pp. 763-781.
WWW Version. 0101
BibRef

Martínez Trinidad, J.F.[José Francisco], Ruiz Shulcloper, J.[José],
Fuzzy clustering of semantic spaces,
PR(34), No. 4, April 2001, pp. 783-793.
WWW Version. 0101
BibRef

Seong, J.C.[Jeong Chang], Usery, E.L.[E. Lynn],
Fuzzy Image Classification for Continental-Scale Multitemporal NDVI Series Images Using Invariant Pixels and an Image Stratification Method,
PhEngRS(67), No. 3, March 2001, pp. 287-294. Use invariant pixels for land-cover classification with NDVI images covering a large area to provide ground-truth data. 0102
BibRef

Palshikar, G.K.[Girish Keshav],
A fuzzy temporal notation and its application to specify fault patterns for diagnosis,
PRL(22), No. 3-4, March 2001, pp. 381-394.
HTML Version. 0105
Classification. BibRef

Quek, C., Tung, W.L.,
A novel approach to the derivation of fuzzy membership functions using the Falcon-MART architecture,
PRL(22), No. 9, July 2001, pp. 941-958.
HTML Version. 0106
BibRef

Quah, K.H., Quek, C., Leedham, G.,
Reinforcement learning combined with a fuzzy adaptive learning control network (FALCON-R) for pattern classification,
PR(38), No. 4, April 2005, pp. 513-526.
WWW Version. 0501
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Hsu, Y.C.[Ya-Chen], Chen, G.R.[Guan-Rong], Li, H.X.[Han-Xiong],
A fuzzy adaptive variable structure controller with applications to robot manipulators,
SMC-B(31), No. 3, June 2001, pp. 331-340.
IEEE Top Reference. 0108
BibRef

Ramot, D., Milo, R., Friedman, M., Kandel, A.,
On fuzzy correlations,
SMC-B(31), No. 3, June 2001, pp. 381-390.
IEEE Top Reference. 0108
BibRef

Schenker, A.[Adam], Last, M.[Mark], Bunke, H.[Horst], Kandel, A.[Abraham],
Fuzzy Clustering With Genetically Adaptive Scaling,
IJIG(2), No. 4, October 2002, pp. 557-572. 0210
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Pascual-Marqui, R.D., Pascual-Montano, A.D., Kochi, K., Carazo, J.M.,
Smoothly distributed fuzzy C-means: a new self-organizing map,
PR(34), No. 12, December 2001, pp. 2395-2402.
WWW Version. 0110
BibRef
Earlier:
A New Self-organizing Map Based on Smoothly Distributed Fuzzy C-means,
ICPR00(Vol II: Not in proceedings). 0009
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Yu, S.[Shixin], de Backer, S.[Steve], Scheunders, P.[Paul],
Genetic feature selection combined with composite fuzzy nearest neighbor classifiers for hyperspectral satellite imagery,
PRL(23), No. 1-3, January 2002, pp. 183-190.
HTML Version. 0201
BibRef

Yager, R.R.,
Using fuzzy methods to model nearest neighbor rules,
SMC-B(32), No. 4, August 2002, pp. 512-525.
IEEE Top Reference. 0207
BibRef

Yager, R.R., and Filev, D.P.,
Approximate Clustering via the Mountain Method,
SMC(24), No. 8, 1994, pp. 1279-1284. BibRef 9400

Yager, R.R., and Filev, D.P.,
Generation of Fuzzy Rules by Mountain Clustering,
JIFS(2), 1994, pp. 209-219. BibRef 9400

Rickard, J.T., Yager, R.R., Miller, W.,
Mountain Clustering on Non-Uniform Grids Using P-Trees,
FuzzyOpt(4), No. 2, April 2005, pp. 87-102.
Springer DOI Link BibRef 0504
Earlier:
Mountain clustering on nonuniform grids,
AIPR04(106-111).
IEEE DOI Link 0410
BibRef

Belacel, N.[Nabil], Hansen, P.[Pierre], Mladenovic, N.[Nenad],
Fuzzy J-Means: a new heuristic for fuzzy clustering,
PR(35), No. 10, October 2002, pp. 2193-2200.
WWW Version. 0206
BibRef

Wu, K.L.[Kuo-Lung], Yang, M.S.[Miin-Shen],
Alternative c-means clustering algorithms,
PR(35), No. 10, October 2002, pp. 2267-2278.
WWW Version. 0206
New metric to replace the Euclidean norm in c-means clustering procedures. See also Mean shift-based clustering. BibRef

Yang, M.S.[Miin-Shen], Wu, K.L.[Kuo-Lung],
A similarity-based robust clustering method,
PAMI(26), No. 4, April 2004, pp. 434-448.
IEEE Abstract. IEEE Top Reference. 0403
Robust to initialization, robust to cluster volumes, robust to noise and outliers. Alternating optimization procedure. BibRef

Wu, K.L.[Kuo-Lung], Yang, M.S.[Miin-Shen],
A cluster validity index for fuzzy clustering,
PRL(26), No. 9, 1 July 2005, pp. 1275-1291.
WWW Version. 0506
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Shen, Q.A.[Qi-Ang], Chouchoulas, A.[Alexios],
A rough-fuzzy approach for generating classification rules,
PR(35), No. 11, November 2002, pp. 2425-2438.
WWW Version. 0208
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Kong, X.W.[Xiang-Wei], Wang, R.Y.[Ren-Ying], Li, G.P.[Guo-Ping],
Fuzzy clustering algorithms based on resolution and their application in image compression,
PR(35), No. 11, November 2002, pp. 2439-2444.
WWW Version. 0208
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Zhang, M.R.[Ming-Rui], Hall, L.O.[Lawrence O.], Goldgof, D.B.[Dmitry B.],
A generic knowledge-guided image segmentation and labeling system using fuzzy clustering algorithms,
SMC-B(32), No. 5, October 2002, pp. 571-582.
IEEE Top Reference. 0210
See also scalable framework for cluster ensembles, A. BibRef

Clark, M.C., Hall, L.O., Li, C.L.[Chun-Lin], Goldgof, D.B.,
Knowledge based (re-)clustering,
ICPR94(B:245-250).
IEEE DOI Link 9410
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Hu, Y.C.[Yi-Chung], Chen, R.S.[Ruey-Shun], Tzeng, G.H.[Gwo-Hshiung],
Finding fuzzy classification rules using data mining techniques,
PRL(24), No. 1-3, January 2003, pp. 509-519.
HTML Version. 0211
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Fan, J.L.[Jiu-Lun], Zhen, W.Z.[Wen-Zhi], Xie, W.X.[Wei-Xin],
Suppressed fuzzy c-means clustering algorithm,
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WWW Version. 0304
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Aidarkhanov, M.B., La, L.L.,
On stability of group fuzzy classification algorithms,
PRL(24), No. 12, August 2003, pp. 1921-1924.
WWW Version. 0304
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Abonyi, J.[Janos], Szeifert, F.[Ferenc],
Supervised fuzzy clustering for the identification of fuzzy classifiers,
PRL(24), No. 14, October 2003, pp. 2195-2207.
WWW Version. 0307
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Liu, H.[Hong], Huang, S.T.[Shang-Teng],
Evolutionary semi-supervised fuzzy clustering,
PRL(24), No. 16, December 2003, pp. 3105-3113.
WWW Version. 0310
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Shackelford, A.K., Davis, C.H.,
A hierarchical fuzzy classification approach for high-resolution multispectral data over urban areas,
GeoRS(41), No. 9, September 2003, pp. 1920-1932.
IEEE Abstract. IEEE Top Reference. 0310
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Shackelford, A.K., Davis, C.H.,
A combined fuzzy pixel-based and object-based approach for classification of high-resolution multispectral data over urban areas,
GeoRS(41), No. 10, October 2003, pp. 2354-2364.
IEEE Abstract. IEEE Top Reference. 0310
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Kim, D.W.[Dae-Won], Lee, K.H.[Kwang H.], Lee, D.[Doheon],
A novel initialization scheme for the fuzzy c-means algorithm for color clustering,
PRL(25), No. 2, January 2004, pp. 227-237.
WWW Version. 0401
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Zhang, D.Q.A.[Dao-Qi-Ang], Chen, S.C.[Song-Can],
A comment on 'Alternative c-means clustering algorithms',
PR(37), No. 2, February 2004, pp. 173-174.
WWW Version. 0311
See also Alternative c-means clustering algorithms. BibRef

Cinque, L., Foresti, G.L., Lombardi, L.,
A clustering fuzzy approach for image segmentation,
PR(37), No. 9, September 2004, pp. 1797-1807.
WWW Version. 0407
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Cinque, L., Foresti, G.L., Gumina, A., Levialdi, S.,
A modified fuzzy ART for image segmentation,
CIAP01(102-107).
IEEE Top Reference. 0210
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Wang, X.Z.[Xi-Zhao], Wang, Y.D.[Ya-Dong], Wang, L.J.[Li-Juan],
Improving Fuzzy C-Means Clustering Based on Feature-Weight Learning,
PRL(25), No. 10, 16 July 2004, pp. 1123-1132.
WWW Version. 0407
See also Improving Performance of Similarity-Based Clustering by Feature Weight Learning. BibRef

Kim, D.W.[Dae-Won], Lee, K.H.[Kwang H.], Lee, D.[Doheon],
Fuzzy clustering of categorical data using fuzzy centroids,
PRL(25), No. 11, August 2004, pp. 1263-1271.
WWW Version. 0409
Extend to fuzzy centroids. BibRef

Chang, X., Lilly, J.H.,
Evolutionary Design of a Fuzzy Classifier From Data,
SMC-B(34), No. 4, August 2004, pp. 1894-1906.
IEEE Abstract. IEEE Top Reference. 0409
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Mitra, S.[Sushmita],
An evolutionary rough partitive clustering,
PRL(25), No. 12, September 2004, pp. 1439-1449.
WWW Version. 0409
Evolutionary C-Means clustering. BibRef

Zhang, D.Q.A.[Dao-Qi-Ang], Chen, S.C.[Song-Can],
Robust Image Segmentation Using FCM With Spatial Constraints Based on New Kernel-Induced Distance Measure,
SMC-B(34), No. 4, August 2004, pp. 1907-1916.
IEEE Abstract. IEEE Top Reference. 0409
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Zhang, D.Q.A.[Dao-Qi-Ang], Chen, S.C.[Song-Can], Zhou, Z.H.[Zhi-Hua],
Learning the kernel parameters in kernel minimum distance classifier,
PR(39), No. 1, January 2006, pp. 133-135.
WWW Version. 0512
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Wang, Z.[Zhe], Chen, S.C.[Song-Can], Sun, T.[Tingkai],
MultiK-MHKS: A Novel Multiple Kernel Learning Algorithm,
PAMI(30), No. 2, February 2008, pp. 348-353.
IEEE DOI Link 0712
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Tan, X.Y.[Xiao-Yang], Chen, S.C.[Song-Can], Li, J.[Jun], Zhou, Z.H.[Zhi-Hua],
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion,
CVPR06(I: 138-145).
IEEE DOI Link 0606
BibRef

Di Gesů, V.[Vito], lo Bosco, G.[Giosuč],
A genetic integrated fuzzy classifier,
PRL(26), No. 4, March 2005, pp. 411-420.
WWW Version. 0501
BibRef

Yu, J., Yang, M.S.,
A Note on the ICS Algorithm With Corrections and Theoretical Analysis,
IP(14), No. 7, July 2005, pp. 973-978.
IEEE DOI Link 0506
intercluster separation fuzzy clustering. Point out errors in ICS algorithm of See also Fuzzy algorithms for combined quantization and dithering. and show corrections. BibRef

Bhatt, R.B.[Rajen B.], Gopal, M.,
On fuzzy-rough sets approach to feature selection,
PRL(26), No. 7, 15 May 2005, pp. 965-975.
WWW Version. 0506
BibRef

Bhatt, R.B.[Rajen B.], Gopal, M.,
On the compact computational domain of fuzzy-rough sets,
PRL(26), No. 11, August 2005, pp. 1632-1640.
WWW Version. 0506
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Bhatt, R.B.[Rajen B.], Gopal, M.,
On the extension of functional dependency degree from crisp to fuzzy partitions,
PRL(27), No. 5, 1 April 2006, pp. 487-491.
WWW Version. Dependency degree; Fuzzy-rough sets; Rough sets 0604
BibRef

Alexiuk, M.D.[Mark D.], Pizzi, N.J.[Nicolino J.],
Robust centroids using fuzzy clustering with feature partitions,
PRL(26), No. 8, June 2005, pp. 1039-1046.
WWW Version. 0506
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Rueda, L.G.[Luis G.], Zhang, Y.Q.[Yuan-Quan],
Geometric visualization of clusters obtained from fuzzy clustering algorithms,
PR(39), No. 8, August 2006, pp. 1415-1429.
WWW Version. 0606
Fuzzy alpha-means; Cluster visualization; Expectation maximization BibRef

de Cáceres, M.[Miquel], Oliva, F.[Francesc], Font, X.[Xavier],
On relational possibilistic clustering,
PR(39), No. 11, November 2006, pp. 2010-2024.
WWW Version. 0608
Cluster analysis; Possibilistic c-means; Relational data; Dissimilarity measures BibRef

Cai, W.L.[Wei-Ling], Chen, S.C.[Song-Can], Zhang, D.Q.A.[Dao-Qi-Ang],
Fast and robust fuzzy c-means clustering algorithms incorporating local information for image segmentation,
PR(40), No. 3, March 2007, pp. 825-838.
WWW Version. 0611
Fuzzy c-means clustering (FCM); Enhanced fuzzy c-means clustering; Image segmentation; Robustness; Spatial constraints; Gray constraints; Fast clustering BibRef

Cai, W.L.[Wei-Ling], Chen, S.C.[Song-Can], Zhang, D.Q.A.[Dao-Qi-Ang],
A simultaneous learning framework for clustering and classification,
PR(42), No. 7, July 2009, pp. 1248-1259.
Elsevier DOI Link
WWW Version. 0903
Structure in data; Bayesian theory; Clustering learning; Classification learning; Simultaneous classification and clustering learning BibRef

de Carvalho, F.A.T.[Francisco A.T.],
Fuzzy c-means clustering methods for symbolic interval data,
PRL(28), No. 4, 1 March 2007, pp. 423-437.
WWW Version. 0701
Symbolic data analysis; Fuzzy c-means clustering methods; Symbolic interval data; Squared euclidean distances; Adaptive distances; Fuzzy partition interpretation indices; Fuzzy cluster interpretation indices BibRef

Dai, S.S.[Shuang-Shuang], Dhawan, A.P.[Atam P.],
Adaptive learning for event modeling and characterization,
PR(40), No. 5, May 2007, pp. 1544-1555.
WWW Version. 0702
Hierarchical clustering; Fuzzy k-means clustering; Adaptive learning; Event modeling BibRef

Hu, Y.K., Hu, Y.P.,
Global optimization in clustering using hyperbolic cross points,
PR(40), No. 6, June 2007, pp. 1722-1733.
WWW Version. 0704
Clustering; Fuzzy c-means; Hard c-means; Global optimization; Hyperbolic cross points; Genetic algorithms BibRef

Zhou, E.W.[En-Wang], Khotanzad, A.[Alireza],
Fuzzy classifier design using genetic algorithms,
PR(40), No. 12, December 2007, pp. 3401-3414.
WWW Version. 0709
Fuzzy classifier; Genetic algorithms; Optimization of fuzzy parameters; Fuzzy rule extraction; Pattern classification BibRef

Mota, G.L.A.[Guilherme L.A.], Feitosa, R.Q.[Raul Q.], Coutinho, H.L.C.[Heitor L.C.], Liedtke, C.E.[Claus-Eberhard], Muller, S.[Sonke], Pakzad, K.[Kian], Meirelles, M.S.P.[Margareth S.P.],
Multitemporal fuzzy classification model based on class transition possibilities,
PandRS(62), No. 3, August 2007, pp. 186-200.
WWW Version. 0709
Remote sensing; Knowledge-base representation; Multitemporal interpretation; Fuzzy logic BibRef

Feitosa, R.Q.[Raul Q.], Costa, G.A.O.P.[Gilson A.O.P.], Mota, G.L.A.[Guilherme L.A.], Pakzad, K.[Kian], Costa, M.C.O.[Maria C.O.],
Cascade multitemporal classification based on fuzzy Markov chains,
PandRS(64), No. 2, March 2009, pp. 159-170.
Elsevier DOI Link
WWW Version. 0903
Cascade classifier; Multitemporal classification; Fuzzy classifier; Fuzzy Markov chain BibRef

Ding, Y.F.[Yun-Fei], Harrison, R.F.[Robert F.],
Relational visual cluster validity (RVCV),
PRL(28), No. 15, 1 November 2007, pp. 2071-2079.
WWW Version. 0711
Clustering; Cluster validity; Relational data; Non-Euclidean fuzzy c-means; Visual cluster validity BibRef

Cai, W.[Weiling], Chen, S.C.[Song-Can], Zhang, D.[Daoqiang],
Robust fuzzy relational classifier incorporating the soft class labels,
PRL(28), No. 16, December 2007, pp. 2250-2263.
WWW Version. 0711
Fuzzy c-means clustering (FCM); Fuzzy relations; Fuzzy relational classifier; Kernelized FCM (KFCM); Soft class label; Pattern classification BibRef

Masson, M.H.[Marie-Helene], Denoeux, T.,
ECM: An evidential version of the fuzzy c-means algorithm,
PR(41), No. 4, April 2008, pp. 1384-1397.
WWW Version. 0801
Clustering; Unsupervised learning; Dempster-Shafer theory; Evidence theory; Belief functions; Cluster validity; Robustness BibRef

Masson, M.H.[Marie-Helene], Denoeux, T.[Thierry],
RECM: Relational evidential c-means algorithm,
PRL(30), No. 11, 1 August 2009, pp. 1015-1026,.
Elsevier DOI Link
WWW Version. 0909
Clustering; Proximity data; Unsupervised learning; Dempster-Shafer theory; Belief functions BibRef

Mohamadi, H.[Hamid], Habibi, J.[Jafar], Abadeh, M.S.[Mohammad Saniee], Saadi, H.[Hamid],
Data mining with a simulated annealing based fuzzy classification system,
PR(41), No. 5, May 2008, pp. 1841-1850.
WWW Version. 0711
Simulated annealing; Data mining; Pattern classification; Fuzzy systems; Fuzzy rule extraction BibRef

Grira, N.[Nizar], Crucianu, M.[Michel], Boujemaa, N.[Nozha],
Active semi-supervised fuzzy clustering,
PR(41), No. 5, May 2008, pp. 1851-1861.
WWW Version. 0711
Semi-supervised clustering; Image database categorization; Pairwise constraints; Active learning BibRef

Gan, G., Wu, J.,
A convergence theorem for the fuzzy subspace clustering (FSC) algorithm,
PR(41), No. 6, June 2008, pp. 1939-1947.
WWW Version. 0802
Clustering; Subspace clustering; Analysis of algorithms; Convergence; Fuzzy set BibRef

Laskaris, N.A.[Nikolaos A.], Zafeiriou, S.P.[Stefanos P.],
Beyond FCM: Graph-theoretic post-processing algorithms for learning and representing the data structure,
PR(41), No. 8, August 2008, pp. 2630-2644.
WWW Version. 0805
Fuzzy clustering; Manifold learning; Prototyping; Spectral-graph theory; Visual data mining BibRef

Pedrycz, W.[Witold], Hirota, K.[Kaoru],
A consensus-driven fuzzy clustering,
PRL(29), No. 9, 1 July 2008, pp. 1333-1343.
WWW Version. 0711
Fuzzy clustering with consensus; Proximity matrix; Knowledge-based clustering; Local and global quality assessment of information granules See also Fuzzy sets in pattern recognition: Methodology and methods. BibRef

Miyamoto, S.[Sadaaki], Alanzado, A.C.[Arnold C.],
Fuzzy C-means And Mixture Distribution Models In The Presence Of Noise Clusters,
IJIG(2), No. 4, October 2002, pp. 573-586. 0210
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Yang, M.S.[Miin-Shen], Tsai, H.S.[Hsu-Shen],
A Gaussian kernel-based fuzzy c-means algorithm with a spatial bias correction,
PRL(29), No. 12, 1 September 2008, pp. 1713-1725.
WWW Version. 0804
Fuzzy clustering; Fuzzy c-means (FCM); Gaussian kernel-based FCM; Spatial bias correction; Image segmentation; MRI data BibRef

Chatzis, S.P.[Sotirios P.], Varvarigou, T.A.[Theodora A.],
Robust fuzzy clustering using mixtures of Student's-t distributions,
PRL(29), No. 13, 1 October 2008, pp. 1901-1905.
WWW Version. 0804
Fuzzy clustering; Fuzzy c-means; Finite mixture models; Student's-t distributions BibRef

Chatzis, S.P.[Sotirios P.], Kosmopoulos, D.I.[Dimitrios I.], Varvarigou, T.A.[Theodora A.],
Robust Sequential Data Modeling Using an Outlier Tolerant Hidden Markov Model,
PAMI(31), No. 9, September 2009, pp. 1657-1669.
IEEE DOI Link 0907
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Fan, J.C.[Jian-Chao], Han, M.[Min], Wang, J.[Jun],
Single point iterative weighted fuzzy C-means clustering algorithm for remote sensing image segmentation,
PR(42), No. 11, November 2009, pp. 2527-2540.
Elsevier DOI Link
WWW Version. 0907
Clustering; Attribute weights; Center initialization; Fuzzy C-means; Image segmentation BibRef

Pham, T.D.[Tuan D.], Brandl, M.[Miriam], Beck, D.[Dominik],
Fuzzy declustering-based vector quantization,
PR(42), No. 11, November 2009, pp. 2570-2577.
Elsevier DOI Link
WWW Version. 0907
Vector quantization; Declustering; Fuzzy c-means; Fuzzy partition entropy; Distortion measures; Pattern classification BibRef

Wu, K.L.[Kuo-Lung], Yang, M.S.[Miin-Shen], Hsieh, J.N.[June-Nan],
Mountain c-regressions method,
PR(43), No. 1, January 2010, pp. 86-98,.
Elsevier DOI Link
WWW Version. 0909
Switching regressions; Fuzzy clustering; Fuzzy c-regressions; Mountain clustering; Mountain c-regressions BibRef


Guliato, D.[Denise], de Sousa Santos, J.C.[Jean Carlo],
Granular Computing and Rough Sets to Generate Fuzzy Rules,
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Ahmed, E.[Eman], El Gayar, N.[Neamat], Atiya, A.F.[Amir F.], El Azab, I.A.[Iman A.],
Fuzzy Gaussian Process Classification Model,
ICIAR09(369-376).
Springer DOI Link 0907
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Yu, Z.D.[Zhi-Ding], Zou, R.B.[Ruo-Bing], Yu, S.[Simin],
A modified fuzzy c-means algorithm with adaptive spatial information for color image segmentation,
CIIP09(48-52).
IEEE DOI Link 0903
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Saha, I.[Indrajit], Maulik, U.[Ujjwal], Bandyopadhyay, S.[Sanghamitra],
An Improved Multi-objective Technique for Fuzzy Clustering with Application to IRS Image Segmentation,
EvoIASP(426-431).
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Hanmandlu, M.[Madasu], Susan, S., Madasu, V.K.[Vamsi Krishna], Lovell, B.C.,
Fuzzy Co-Clustering of medical images using bacterial foraging,
IVCNZ08(1-6).
IEEE DOI Link 0811
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Zhang, M.[Mingrui], Therneau, T.[Terry], McKenzie, M.A.[Michael A.], Li, P.[Peter], Yang, P.[Ping],
A fuzzy c-means algorithm using a correlation metrics and gene ontology,
ICPR08(1-4).
IEEE DOI Link 0812
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Szilágyi, L.[László], Iclanzan, D.[David], Szilágyi, S.M.[Sándor M.], Dumitrescu, D.[Dan],
GeCiM: A Novel Generalized Approach to C-Means Clustering,
CIARP08(235-242).
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Iakovidis, D.K.[Dimitris K.], Pelekis, N.[Nikos], Kotsifakos, E.[Evangelos], Kopanakis, I.[Ioannis],
Intuitionistic Fuzzy Clustering with Applications in Computer Vision,
ACIVS08(xx-yy).
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Kannappady, S.[Srinidhi], Mudur, S.P.[Sudhir P.], Shiri, N.[Nematollaah],
Clickstream Visualization Based on Usage Patterns,
ICCVGIP06(339-351).
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Fuzzy clustering, view as point cloud. BibRef

Wu, X.H.[Xiao-Hong], Zhou, J.J.[Jian-Jiang],
An Improved Possibilistic C-Means Algorithm Based on Kernel Methods,
SSPR06(783-791).
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Bao, Z.Q.A.[Zhi-Qi-Ang], Han, B.[Bing], Wu, S.J.[Shun-Jun],
A General Weighted Fuzzy Clustering Algorithm,
ICIAR06(II: 102-109).
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Bhattacharya, P.[Prabir], Rahman, M.[Mahmudur], Desai, B.C.[Bipin C.],
Image Representation and Retrieval Using Support Vector Machine and Fuzzy C-means Clustering Based Semantical Spaces,
ICPR06(I: 929-935).
WWW Version. 0609
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And: ICPR06(II: 1162-1168).
WWW Version. 0609
BibRef

Petrosino, A., Verde, M.,
P-AFLC: a parallel scalable fuzzy clustering algorithm,
ICPR04(I: 809-812).
IEEE DOI Link 0409
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Manley-Cooke, P., Razaz, M.,
A modified fuzzy inference system for pattern classification,
ICPR04(I: 256-259).
IEEE DOI Link 0409
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Muhammed, H.H.,
Unsupervised fuzzy clustering and image segmentation using weighted neural networks,
CIAP03(308-313).
IEEE Abstract. IEEE Top Reference. 0310
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Abe, S.,
Generalization Improvement of a Fuzzy Classifier with Pyramidal Membership Functions,
ICPR00(Vol II: 211-214).
IEEE DOI Link
HTML Version. 0009
BibRef

Lorette, A.[Anne], Descombes, X.[Xavier], Zerubia, J.B.[Josiane B.],
Fully Unsupervised Fuzzy Clustering with Entropy Criterion,
ICPR00(Vol III: 986-989).
IEEE DOI Link
IEEE DOI Link 0009
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Gao, Q.[Qigang], Qing, D.[Dan], Lu, S.W.[Si-Wei],
Fuzzy Classification of Generic Edge Features,
ICPR00(Vol III: 668-671).
IEEE DOI Link
HTML Version. 0009
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Han, J.H.[Joon H.], Kim, Y.K.[Yoon K.],
A Fuzzy K-NN Algorithm using Weights from the Variance of Membership Values,
CVPR99(II: 394-399).
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9900

Doroodchi, M.[Mahmood], Reza, A.M.,
Fuzzy Cluster Filter,
ICIP96(II: 939-942).
IEEE DOI Link BibRef 9600

Jozwik, A., Chmielewski, L., Cudny, W., Sklodowski, M.,
A 1-NN Preclassifier for Fuzzy K-NN Rule,
ICPR96(IV: 234-238).
IEEE DOI Link 9608
(Polish Academy of Sciences, PL) BibRef

Qing, Y.X.[Ye Xiu], Hua, H.Z.[Huang Zhen], Qiang, X.[Xiao],
Histogram based fuzzy C-mean algorithm for image segmentation,
ICPR92(III:704-707).
IEEE DOI Link 9208
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Fuzzy Clustering, Cluster Validity Tests .


Last update:Nov 16, 2009 at 19:35:14