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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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).
WWW Version.
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.
0604Clustering; 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
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.
WWW Version.
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.
0105Classification.
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
BibRef
Hsu, Y.C.[Ya-Chen],
Chen, G.[Guanrong],
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
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
BibRef
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
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.
0206New 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.
0403Robust 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
BibRef
Shen, Q.[Qiang],
Chouchoulas, A.[Alexios],
A rough-fuzzy approach for generating classification rules,
PR(35), No. 11, November 2002, pp. 2425-2438.
WWW Version.
0208
BibRef
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
BibRef
Zhang, M.R.[Ming-Rui],
Hall, L.O.,
Goldgof, D.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
BibRef
Clark, M.C.,
Hall, L.O.,
Li, C.L.[Chun-Lin],
Goldgof, D.B.,
Knowledge based (re-)clustering,
ICPR94(B:245-250).
WWW Version.
9410
BibRef
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
BibRef
Fan, J.L.[Jiu-Lun],
Zhen, W.Z.[Wen-Zhi],
Xie, W.X.[Wei-Xin],
Suppressed fuzzy c-means clustering algorithm,
PRL(24), No. 9-10, June 2003, pp. 1607-1612.
WWW Version.
0304
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
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
BibRef
Zhang, D.Q.[Dao-Qiang],
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
BibRef
Cinque, L.,
Foresti, G.L.,
Gumina, A.,
Levialdi, S.,
A modified fuzzy ART for image segmentation,
CIAP01(102-107).
IEEE Top Reference.
0210
BibRef
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.
0409Extend 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
BibRef
Mitra, S.[Sushmita],
An evolutionary rough partitive clustering,
PRL(25), No. 12, September 2004, pp. 1439-1449.
WWW Version.
0409Evolutionary C-Means clustering.
BibRef
Zhang, D.Q.[Dao-Qiang],
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(FCM: Fuzzy C-Means Clustering).
BibRef
Zhang, D.Q.[Dao-Qiang],
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
BibRef
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.
WWW Version.
0712
BibRef
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).
WWW Version.
0606
BibRef
Di Gesù, V.[Vito],
lo Bosco, G.[Giosuè],
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.
WWW Version.
0506intercluster 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 the compact computational domain of fuzzy-rough sets,
PRL(26), No. 11, August 2005, pp. 1632-1640.
WWW Version.
0506
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
BibRef
Pedrycz, W.[Witold],
Interpretation of clusters in the framework of shadowed sets,
PRL(26), No. 15, November 2005, pp. 2439-2449.
WWW Version.
0510Interpretation of fuzzy clustering results.
BibRef
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.
0606Fuzzy 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.
0608Cluster analysis; Possibilistic c-means; Relational data;
Dissimilarity measures
BibRef
Cai, W.L.[Wei-Ling],
Chen, S.C.[Song-Can],
Zhang, D.Q.[Dao-Qiang],
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.
0611Fuzzy c-means clustering (FCM); Enhanced fuzzy c-means clustering;
Image segmentation; Robustness; Spatial constraints; Gray constraints;
Fast clustering
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.
0701Symbolic 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.[Shuangshuang],
Dhawan, A.P.[Atam P.],
Adaptive learning for event modeling and characterization,
PR(40), No. 5, May 2007, pp. 1544-1555.
WWW Version.
0702Hierarchical 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.
0704Clustering; 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.
0709Fuzzy 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.
0709Remote sensing; Knowledge-base representation;
Multitemporal interpretation; Fuzzy logic
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.
0711Clustering; 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.
0711Fuzzy 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.
0801Clustering; Unsupervised learning; Dempster-Shafer theory;
Evidence theory; Belief functions; Cluster validity; Robustness
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.
0711Simulated 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.
0711Semi-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.
0802Clustering; 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.
0805Fuzzy 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.
0711Fuzzy clustering with consensus; Proximity matrix;
Knowledge-based clustering;
Local and global quality assessment of information granules
BibRef
Wu, X.H.[Xiao-Hong],
Zhou, J.J.[Jian-Jiang],
An Improved Possibilistic C-Means Algorithm Based on Kernel Methods,
SSPR06(783-791).
WWW Version.
0608
BibRef
Bao, Z.Q.[Zhi-Qiang],
Han, B.[Bing],
Wu, S.J.[Shun-Jun],
A General Weighted Fuzzy Clustering Algorithm,
ICIAR06(II: 102-109).
WWW Version.
0610
BibRef
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
BibRef
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).
WWW Version.
0409
BibRef
Manley-Cooke, P.,
Razaz, M.,
A modified fuzzy inference system for pattern classification,
ICPR04(I: 256-259).
WWW Version.
0409
BibRef
Muhammed, H.H.,
Unsupervised fuzzy clustering and image segmentation using weighted
neural networks,
CIAP03(308-313).
IEEE Abstract. IEEE Top Reference.
0310
BibRef
Abe, S.,
Generalization Improvement of a Fuzzy Classifier with Pyramidal
Membership Functions,
ICPR00(Vol II: 211-214).
WWW Version.
HTML Version.
0009
BibRef
Lorette, A.[Anne],
Descombes, X.[Xavier],
Zerubia, J.[Josiane],
Fully Unsupervised Fuzzy Clustering with Entropy Criterion,
ICPR00(Vol III: 986-989).
WWW Version.
WWW Version.
0009
BibRef
Gao, Q.[Qigang],
Qing, D.[Dan],
Lu, S.W.[Si-Wei],
Fuzzy Classification of Generic Edge Features,
ICPR00(Vol III: 668-671).
WWW Version.
HTML Version.
0009
BibRef
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).
WWW Version.
BibRef
9600
Jozwik, A.,
Chmielewski, L.,
Cudny, W.,
Sklodowski, M.,
A 1-NN Preclassifier for Fuzzy K-NN Rule,
ICPR96(IV: 234-238).
WWW Version.
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).
WWW Version.
9208
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Fuzzy Clustering, Cluster Validity Tests .