14.2.2 Clustering, Classification, General

Cramér, H.,
Mathematical Methods of Statistics,
PrincetonUniversity Press, Princeton, NJ, 1946. The mean-squared error for any estimate of a nonrandom parameter has a lower bound, the Cramér-Rao Bound, which defines the ultimate accuracy of any estimation procedure. This lower bound is intimately related to the maximum likelihood estimator. BibRef 4600

Bonner, R.E.,
On Some Clustering Techniques,
IBMRD(8), January 1964, pp. 22-31. BibRef 6401

Jain, A.K., Murty, M.N., and Flynn, P.J.,
Data clustering: A review,
Surveys(31), 1999, No. 3, pp. 264-323.
WWW Version. Survey, Pattern Recognition. BibRef 9900

Forgey, E.,
Cluster Analysis of Multivariate Data: Efficiency vs. Interpretability of Classification,
Biometrics(21), 1965, pp. 768. BibRef 6500

Nahi, N.E.,
Estimation Theory and Applications,
John Wileyand Sons Inc., 1969. BibRef 6900

Jain, A.K.,
Cluster Analysis,
HPRIP86(33-57). BibRef 8600

Jain, A.K., and Dubes, R.C.,
Algorithms for Clustering Data,
Prentice HallInc., Englewood Cliffs, NJ 1988. ISBN 0-13-022278-X.
PDF Version. BibRef 8800

Dubes, R.C.,
Cluster Analysis and Related Issues,
HPRCV97(Chapter I:1). (Michigan State Univ.). BibRef 9700

Dubes, R.C.[Richard C.], Jain, A.K.[Anil K.],
Clustering techniques: The user's dilemma,
PR(8), No. 4, October 1976, pp. 247-260.
WWW Version. 0309 BibRef

Dubes, R.C.[Richard C.], Jain, A.K.[Anil K.],
Validity studies in clustering methodologies,
PR(11), No. 4, 1979, pp. 235-254.
WWW Version. 0309 BibRef

Bailey, Jr., T.A.[Thomas A.], Dubes, R.C.[Richard C.],
Cluster validity profiles,
PR(15), No. 2, 1982, pp. 61-83.
WWW Version. 0309 BibRef

Panayirci, E.[Erdal], Dubes, R.C.[Richard C.],
A test for multidimensional clustering tendency,
PR(16), No. 4, 1983, pp. 433-444.
WWW Version. BibRef 8300
Earlier: PR(16), No. 3, 1983, pp. Page 357.
WWW Version. 0309 BibRef

Kaminuma, T., Takekawa, T., Watanabe, S.,
Reduction of clustering problem to pattern recognition,
PR(1), No. 3, March 1969, pp. 195-205.
WWW Version. 0309 BibRef

Freeman, J.J.,
Experiments in discrimination and classification,
PR(1), No. 3, March 1969, pp. 207-218.
WWW Version. 0309 BibRef

Holdermann, F.,
Classification by cascaded threshold elements,
PR(3), No. 3, October 1971, pp. 243-251.
WWW Version. 0309 BibRef

Diday, E.[Edwin],
Optimization in non-hierarchical clustering,
PR(6), No. 1, June 1974, pp. 17-33.
WWW Version. 0309 BibRef

Diday, E.[Edwin], Cucumel, G.,
Compatibility and consensus in numerical taxonomy,
ICPR88(II: 1059-1061).
WWW Version. 8811 BibRef

Slagle, J.R., Chang, C.L., Heller, S.R.,
A Clustering and Data Reorganizing Algorithm,
SMC(5), 1975, pp. 125-128. BibRef 7500

Yau, S.S., Chang, S.C.,
A direct method for cluster analysis,
PR(7), No. 4, December 1975, pp. 215-224.
WWW Version. 0309 BibRef

Kittler, J.V.,
A locally sensitive method for cluster analysis,
PR(8), No. 1, January 1976, pp. 23-33.
WWW Version. 0309 BibRef

Apostolico, A., Caianiello, E.R., Fischetti, E., Vitulano, S.,
C-calculus: An elementary approach to some problems in pattern recognition,
PR(10), No. 5-6, 1978, pp. 375-387.
WWW Version. 0309 BibRef

Wong, A.K.C., and Wang, D.C.C.,
DECA: A Discrete-Valued Data Clustering Algorithm,
PAMI(1), No. 4, October 1979, 342-349. BibRef 7910

Chittineni, C.B.,
Utilization of Spectral-Spatial Information in the Classification of Imagery Data,
CGIP(16), No. 4, August 1981, pp. 305-340.
WWW Version. BibRef 8108

Chittineni, C.B.,
Some approaches to optimal cluster labeling with applications to remote sensing,
PR(15), No. 3, 1982, pp. 201-216.
WWW Version. 0309 BibRef

Chittineni, C.B.,
Signature extension in remote sensing,
PR(12), No. 4, 1980, pp. 243-249.
WWW Version. 0309 BibRef

Massart, D.L.[Désiré L.], Plastria, F.[Frank], Kaufman, L.[Leonard],
Non-hierarchical clustering with MASLOC,
PR(16), No. 5, 1983, pp. 507-516.
WWW Version. 0309 BibRef

Lowitz, G.E.,
What the Fourier Transform Can Really Bring to Clustering,
PR(17), No. 6, 1984, pp. 657-665.
WWW Version. See also What a Histogram Can Really Tell the Classifier. BibRef 8400

Kusiak, A.[Andrew],
Analysis of integer programming formulations of clustering problems,
IVC(2), No. 1, February 1984, pp. 35-40.
WWW Version. 0401 BibRef

Dehne, F.,
Optical Clustering,
VC(2), 1986, pp. 39-43. BibRef 8600

Kim, J.H.,
Distributed Inference for Plausible Classification,
PRL(5), 1987, pp. 195-201. BibRef 8700

Jain, A.K., Moreau, J.V.,
Bootstrap technique in cluster analysis,
PR(20), No. 5, 1987, pp. 547-568.
WWW Version. 0309 BibRef

Umesh, R.M.,
A technique for cluster formation,
PR(21), No. 4, 1988, pp. 393-400.
WWW Version. 0309 BibRef

Bryant, J.[Jack],
A fast classifier for image data,
PR(22), No. 1, 1989, pp. 45-48.
WWW Version. 0309 BibRef

Shekar, B., Murty, M.N.[M. Narasimha], Krishna, G.,
Structural aspects of semantic-directed clusters,
PR(22), No. 1, 1989, pp. 65-74.
WWW Version. 0309 BibRef

Liu, S.T.[Song-Tyang], Tsai, W.H.[Wen-Hsiang],
Moment-preserving clustering,
PR(22), No. 4, 1989, pp. 433-447.
WWW Version. 0309 BibRef

Postaire, J.G., Touzani, A.,
Mode boundary detection by relaxation for cluster analysis,
PR(22), No. 5, 1989, pp. 477-489.
WWW Version. 0309 BibRef

Wilson, R., Spann, M.,
A new approach to clustering,
PR(23), No. 12, 1990, pp. 1413-1425.
WWW Version. 0401 BibRef

Kaneko, K.[Kunihiko],
Clustering, coding, switching, hierarchical ordering, and control in a network of chaotic elements,
PhysicaD(41), No. 2 , March 1990, Pages 137-172.
WWW Version. BibRef 9003

Valev, V.[Ventzeslav], Zhuravlev, J.I.[Jurey Ivanovich],
Integer-valued problems of transforming the training tables in k-valued code in pattern recognition problems,
PR(24), No. 4, 1991, pp. 283-288.
WWW Version. 0401 BibRef

Rose, K., Gurewitz, E., Fox, G.C.,
Constrained clustering as an optimization method,
PAMI(15), No. 8, August 1993, pp. 785-794.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0401 BibRef

Postaire, J.G., Zhang, R.D., Lecocq-Botte, C.,
Cluster analysis by binary morphology,
PAMI(15), No. 2, February 1993, pp. 170-180.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0401 BibRef

Lakroum, S., Devlaminck, V., Terrier, P., Biela-Enberg, P., Postaire, J.G.,
Clustering of The Poincaré Vectors,
ICIP05(II: 1190-1193).
WWW Version. 0512 BibRef

Lin, J.C., Tsai, W.H.,
Feature-Preserving Clustering of 2-D Data for 2-Class Problems Using Analytical Formulas: An Automatic and Fast Approach,
PAMI(16), No. 5, May 1994, pp. 554-560.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9405

Ramdas, V., Sridhar, V., Krishna, G.,
An Effective Clustering Technique for Feature-Extraction,
PRL(15), No. 9, September 1994, pp. 885-891. BibRef 9409

Pellegretti, P., Roli, F., Serpico, S.B., Vernazza, G.,
Supervised learning of descriptions for image recognition purposes,
PAMI(16), No. 1, January 1994, pp. 92-98.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0401 BibRef

Cubanski, D., Cyganski, D.,
Multivariate Classification through Adaptive Delaunay-Based C-0 Spline Approximation,
PAMI(17), No. 4, April 1995, pp. 403-417.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9504

Osbourn, G.C., Martinez, R.F.,
Empirically defined regions of influence for clustering analyses,
PR(28), No. 11, November 1995, pp. 1793-1806.
WWW Version. 0401Use human cluster judgments as the cluster criteria. BibRef

McLachlan, G.J., Krishnan, T.,
The EM Algorithm and Extensions,
John Wiley& Sons, 1996. BibRef 9600

Pei, S.C., Cheng, C.M.,
A Fast 2-Class Classifier for 2D Data Using Complex-Moment-Preserving Principle,
PR(29), No. 3, March 1996, pp. 519-531.
WWW Version. BibRef 9603

Kim, J.W., Krishnapuram, R., Dave, R.,
Application of the Least Trimmed Squares Technique to Prototype-Based Clustering,
PRL(17), No. 6, May 15 1996, pp. 633-641. 9607 BibRef

Lin, J.C., Lin, W.J.,
Real-Time And Automatic 2-Class Clustering By Analytical Formulas,
PR(29), No. 11, November 1996, pp. 1919-1930.
WWW Version. 9612 BibRef

Wharton, S.W.,
A Generalized Histogram Clustering Scheme for Multidimensional Image Data,
PR(16), No. 2, 1983, pp. 193-199.
WWW Version. 9611 BibRef

Li, Q., Tufts, D.W.,
Principal Feature Classification,
TNN(8), No. 1, January 1997, pp. 155-160. 9701 BibRef

Murtagh, F.,
Contiguity-Constrained Clustering for Image Analysis,
PRL(13), 1992, pp. 677-683. BibRef 9200

Doncarli, C., and Carpentier, E.L.,
An Optimal Approach for Random Signals Classification,
PAMI(13), No. 11, November 1991, pp. 1192-1196.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9111

Boberg, J., Salakoski, T.,
Representative Noise-Free Complete-Link Classification with Application to Protein Structures,
PR(30), No. 3, March 1997, pp. 467-482.
WWW Version. 9705 BibRef

Velthuizen, R.P., Hall, L.O., Clarke, L.P., Silbiger, M.L.,
An Investigation of Mountain Method Clustering for Large Data Sets,
PR(30), No. 7, July 1997, pp. 1121-1135.
WWW Version. 9707 BibRef

Ha, T.M.,
The Optimum Class-Selective Rejection Rule,
PAMI(19), No. 6, June 1997, pp. 608-615.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9708 BibRef
Earlier:
An Optimum Class-Selective Rejection Rule for Pattern Recognition,
ICPR96(II: 75-80).
WWW Version. 9608(Univ. of Berne, CH) BibRef

Cheung, J., Ferris, D., Kurz, L.,
On Classification of Multispectral Infrared Image Data,
IP(6), No. 10, October 1997, pp. 1456-1460.
WWW Version. 9710 BibRef

Kastella, K.,
Discrimination Gain to Optimize Detection and Classification,
SMC-A(27), No. 1, January 1997, pp. 112-116.
IEEE Top Reference. 9701 BibRef

Muzzolini, R., Yang, Y.H., Pierson, R.,
Classifier Design with Incomplete Knowledge,
PR(31), No. 4, April 1998, pp. 345-369.
WWW Version. 9803 BibRef

Erol, H., Akdeniz, F.,
A New Supervised Classification Method for Quantitative-Analysis of Remotely Sensed Multispectral Data,
JRS(19), No. 4, March 10 1998, pp. 775-782. 9803 BibRef

Mandal, D.P.,
Partitioning of Feature Space for Pattern Classification,
PR(30), No. 12, December 1997, pp. 1971-1990.
WWW Version. 9805 BibRef

Zhu, Q.M., Cai, Y.,
A Subclass Model for Nonlinear Pattern Classification,
PRL(19), No. 1, January 1998, pp. 19-29. 9807 BibRef

Sukanya, P.[Phongsuphap], Takamatsu, R.[Ryo], Sato, M.[Makoto],
The Surface Shape Operator and Multiscale Approach for Image Classification,
IEICE(E81-A), No. 8, August 1998, pp. 1683-1689. 9809 BibRef
Earlier:
Image Classification Using the Surface-shape Operator and Multiscale Features,
ICPR98(Vol I: 334-337).
WWW Version. 9808 BibRef
Earlier:
The surface-shape operator based shading-tolerant method for multiscale image analysis,
ICIP98(I: 221-225).
WWW Version. 9810 BibRef

Judd, D., McKinley, P.K., and Jain, A.K.,
Large-Scale Parallel Data Clustering,
PAMI(20), No. 8, August 1998, pp. 871-876.
IEEE Abstract. IEEE Top Reference.
WWW Version. BibRef 9808
Earlier: ICPR96(IV: 488-493).
WWW Version. 9608 Parallel Algorithms. (Michigan State Univ., USA) Reduce mean-square-error in data clustering. Use a network of workstations. Apply to texture segmentation. BibRef

Hogg, T.[Trevor], Talhami, H.[Habib], Rees, D.[David],
An improved synergetic algorithm for image classification,
PR(31), No. 12, December 1998, pp. 1893-1903.
WWW Version. BibRef 9812

Chaudhuri, B.B., Bhowmik, P.R.,
An approach of clustering data with noisy or imprecise feature measurement,
PRL(19), No. 14, December 1998, pp. 1307-1317. BibRef 9812

Baram, Y.[Yoram],
A geometric approach to consistent classification,
PR(33), No. 2, February 2000, pp. 177-184.
WWW Version. 0001 BibRef

Ichino, M.[Manabu], Yaguchi, H.[Hiroyuki],
An apparent simplicity appearing in pattern classification problems,
PR(33), No. 9, September 2000, pp. 1467-1474.
WWW Version. 0005 BibRef

Wong, C.C.[Ching-Chang], Chen, C.C.[Chia-Chong], Su, M.C.[Mu-Chun],
A novel algorithm for data clustering,
PR(34), No. 2, February 2001, pp. 425-442.
WWW Version. 0011 BibRef

Chau, T.[Tom],
Marginal Maximum Entropy Partitioning Yields Asymptotically Consistent Probability Density Functions,
PAMI(23), No. 4, April 2001, pp. 414-417.
IEEE Abstract. IEEE Top Reference.
WWW Version. 0104 BibRef

Kim, D.J.[Dai-Jin],
Data classification based on tolerant rough set,
PR(34), No. 8, August 2001, pp. 1613-1624.
WWW Version. 0105 BibRef

Wang, J.H., Rau, J.D.,
VQ-agglomeration: a novel approach to clustering,
VISP(148), No. 1 , February 2001, pp. 36-44. 0105 BibRef

Ananthanarayana, V.S., Murty, M.N., Subramanian, D.K.,
An incremental data mining algorithm for compact realization of prototypes,
PR(34), No. 11, November 2001, pp. 2249-2251.
WWW Version. 0108 BibRef

Kuncheva, L.I.[Ludmila I.], Kountchev, R.K.[Roumen K.],
Generating classifier outputs of fixed accuracy and diversity,
PRL(23), No. 5, March 2002, pp. 593-600.
HTML Version. 0202 BibRef

Boutsinas, B., Gnardellis, T.,
On distributing the clustering process,
PRL(23), No. 8, June 2002, pp. 999-1008.
HTML Version. 0204 BibRef

Schöll, J.[Joachim], Schöll-Paschinger, E.[Elisabeth],
Classification by restricted random walks,
PR(36), No. 6, June 2003, pp. 1279-1290.
WWW Version. 0304 BibRef

Leski, J.[Jacek],
Ho-Kashyap classifier with generalization control,
PRL(24), No. 14, October 2003, pp. 2281-2290.
WWW Version. 0307 See also Algorithm for Linear Inequalities and its Applications, An. BibRef

Largeron-Leténo, C.[Christine],
Prediction suffix trees for supervised classification of sequences,
PRL(24), No. 16, December 2003, pp. 3153-3164.
WWW Version. 0310 BibRef

Bandyopadhyay, S.[Sanghamitra],
An automatic shape independent clustering technique,
PR(37), No. 1, January 2004, pp. 33-45.
WWW Version. 0311 BibRef

Ma, E.W.M.[Eden W.M.], Chow, T.W.S.[Tommy W. S.],
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PR(37), No. 3, March 2004, pp. 503-514.
WWW Version. 0401 BibRef

Lee, E.W.M., Lim, C.P., Yuen, R.K.K., Lo, S.M.,
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SMC-B(34), No. 2, April 2004, pp. 951-960.
IEEE Abstract. IEEE Top Reference. 0404 BibRef

Abou-Moustafa, K.T., Cheriet, M., Suen, C.Y.,
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WWW Version. 0405 BibRef

Diatta, J.[Jean],
A relation between the theory of formal concepts and multiway clustering,
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WWW Version. 0407 BibRef

Kim, D.W.[Dae-Won], Lee, K.[KiYoung], Lee, D.[Doheon], Lee, K.H.[Kwang H.],
A kernel-based subtractive clustering method,
PRL(26), No. 7, 15 May 2005, pp. 879-891.
WWW Version. 0506Use kernel distance rather than sum of squares. BibRef

Zheng, L.Y.[Li-Ying], Tang, X.L.[Xiang-Long],
A new parameter control method for S-GCM,
PRL(26), No. 7, 15 May 2005, pp. 939-942.
WWW Version. 0506Globally coupled map. See Kaneko ( See also Clustering, coding, switching, hierarchical ordering, and control in a network of chaotic elements. ), and Ishii ( See also net work of chaotic elements for information processing, A. ) BibRef

Chang, K.C., Yeh, M.F.,
Grey relational analysis based approach for data clustering,
VISP(152), No. 2, April 2005, pp. 165-172.
WWW Version. 0510 BibRef

Blekas, K., Lagaris, I.E.,
Newtonian clustering: An approach based on molecular dynamics and global optimization,
PR(40), No. 6, June 2007, pp. 1734-1744.
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Culp, M.[Mark], Michailidis, G.[George],
Graph-Based Semisupervised Learning,
PAMI(30), No. 1, January 2008, pp. 174-179.
WWW Version. 0711 BibRef

Cazzanti, L.[Luca], Gupta, M.R.[Maya R.], Koppal, A.J.[Anjali J.],
Generative models for similarity-based classification,
PR(41), No. 7, July 2008, pp. 2289-2297.
WWW Version. 0804Similarity; Maximum entropy; Discriminant analysis BibRef

Yue, S.H.[Shi-Hong], Wei, M.M.[Miao-Miao], Wang, J.S.[Jeen-Shing], Wang, H.X.[Hua-Xiang],
A general grid-clustering approach,
PRL(29), No. 9, 1 July 2008, pp. 1372-1384.
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Bounsiar, A.[Abdenour], Beauseroy, P.[Pierre], Grall-Maes, E.[Edith],
General solution and learning method for binary classification with performance constraints,
PRL(29), No. 10, 15 July 2008, pp. 1455-1465.
WWW Version. 0711Statistical hypothesis testing; Performance constraints; Neyman-Pearson criterion; Chow's rule; Classification with rejection option; Kernel methods BibRef

Awad, M., Wang, L.[Lei], Chin, Y.[Yuhan], Khan, L., Chen, G., Chebil, F.,
A framework for image classification,
Southwest06(134-138).
WWW Version. 0603 BibRef

Yu, Z.W.[Zhi-Wen], Wong, H.S.[Hau-San],
GCA: A real-time grid-based clustering algorithm for large data set,
ICPR06(II: 740-743).
WWW Version. 0609 BibRef

Yu, Z.W.[Zhi-Wen], Wong, H.S.[Hau-San],
Mining Uncertain Data in Low-dimensional Subspace,
ICPR06(II: 748-751).
WWW Version. 0609 BibRef

Beder, C.[Christian],
Agglomerative Grouping of Observations by Bounding Entropy Variation,
DAGM05(101).
WWW Version. 0509 BibRef

Zhou, D.Y.[Deng-Yong], Schölkopf, B.[Bernhard],
Learning from Labeled and Unlabeled Data Using Random Walks,
DAGM04(237-244).
WWW Version. 0505 BibRef

Zhu, H.[Hui], Huang, J.H.[Jian-Hua], Tang, X.L.[Xiang-Long],
Comparing decision boundary curvature,
ICPR04(III: 450-453).
WWW Version. 0409 BibRef

Tomiya, M.[Mitsuyoshi], Kikuchi, S.[Seitaro],
Application of Modified Counter-Propagation for Satellite Image Classification,
PCV02(B: 277). 0305 BibRef

Veeramachaneni, S., Fujisawa, H., Liu, C.L.[Cheng-Lin], Nagy, G.,
Style-conscious quadratic field classifier,
ICPR02(II: 72-75).
WWW Version. 0211 BibRef

Aujol, J.F.[Jean-François], Aubert, G.[Gilles], Blanc-Féraud, L.[Laure],
Supervised classification for textured images,
INRIARR-4640, Novembre 2002.
HTML Version. 0306 BibRef

Aubert, G.[Gilles], Blanc-Feraud, L.[Laure], March, R.[Riccardo],
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Saint-Jean, C., Frelicot, C.,
A robust semi-supervised EM-based clustering algorithm with a reject option,
ICPR02(III: 399-402).
WWW Version. 0211 BibRef

Barata, T., Pina, P.,
Improving classification rates by modelling the clusters of trainings sets in features space using mathematical morphology operators,
ICPR02(II: 328-331).
WWW Version. 0211 BibRef
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WWW Version. 0211 BibRef

Carrilero, A.C., Maitre, H., Roux, M.,
Material determination from reflectance properties in aerial urban images,
CIAP01(553-558).
IEEE Top Reference. 0210 BibRef

Elad, M.[Michael], Hel-Or, Y.[Yacov], Keshet, R.[Renato],
Pattern Detection Using a Maximal Rejection Classifier,
VF01(514 ff.).
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de Souza, K.M.A., Kent, J.T., Mardia, K.V.,
Estimation of Objects in Highly Variable Images Using Markov Chain Monte Carlo,
BMVC97(xx-yy).
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Hoque, S., Sirlantzis, K., Fairhurst, M.C.,
Bit plane decomposition and the scanning n-tuple classifier,
FHR02(207-211).
IEEE Top Reference. 0209 BibRef

Li, C.H.,
Constrained Minimum Cut for Classification Using Labeled and Unlabeled Data,
CVPR01(II:597-602).
IEEE Abstract. IEEE Top Reference. 0110 BibRef

Chen, H., Meer, P., Tyler, D.E.,
Robust Regression for Data with Multiple Structures,
CVPR01(I:1069-1075).
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Duin, R.P.W.[Robert P.W.],
Classifiers in Almost Empty Spaces,
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Hartelius, K.,
A CART Extension using Quadratic Decision Borders,
SCIA99(Statistical Methods). BibRef 9900

Erenshteyn, R., Saxe, D., Laskov, P., Foulds, R.,
Distributed output encoding for multi-class pattern recognition,
CIAP99(229-234).
WWW Version. 9909 BibRef

Abrantes, A.J., Marques, J.S.,
A Method for Dynamic Clustering of Data,
BMVC98(xx-yy). BibRef 9800

Simon, U.[Ute], Berndtgen, M.[Manfred],
WaveStat: Cluster Analysis of Image Data and Wavelet Coefficients,
ICPR98(Vol II: 1622-1625).
WWW Version. 9808 BibRef

Shah, S.[Shishir], Aggarwal, J.,
A Hybrid Architecture for Performance Reasoning in Classification Systems,
ICPR98(Vol I: 326-330).
WWW Version. 9808 BibRef

Le Bourgeois, F.[Frank], Frelicot, C.[Carl],
A Pretopology-Based Supervised Pattern Classifier,
ICPR98(Vol I: 106-109).
WWW Version. 9808 BibRef

Le Bourgeois, F.[Frank], Emptoz, H.[Hubert],
Pretopological approach for supervised learning,
ICPR96(IV: 256-260).
WWW Version. 9608(I.N.S.A. de Lyon, F) BibRef

Morguet, P., and Lang, M.,
A Universal HMM-Based Approach to Image Sequence Classification,
ICIP97(III: 146-149).
WWW Version. BibRef 9700

Ho, T., Kleinberg, E.,
Building Projectable Classifiers of Arbitrary Complexity,
ICPR96(II: 880-885).
WWW Version. 9608(ATT Bell Laboratories, USA) BibRef

Sinclair, D.,
Cluster Based Texture Analysis,
ICPR96(II: 825-829).
WWW Version. 9608(Technical Univ. Graz, A) BibRef

Chang, I., Loew, M.,
Classification with Nonexclusive Patterns,
ICPR96(II: 116-120).
WWW Version. 9608(The George Washington Univ., USA) BibRef

Chang, I., Loew, M.,
Pattern recognition with new class discovery,
CVPR91(438-443).
IEEE Abstract. IEEE Top Reference. 0403 BibRef

Sipper, M., Yeshurun, Y.,
Pattern classification using teurons,
ICPR90(I: 433-437).
WWW Version. 9006 BibRef

Hilbert, E.E.[Edward E.],
Cluster Compression Algorithm, A Joint Clustering Data Compression Concept,
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Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
High Dimensional Data, Hyperspectral Data, Hyper-Spectral Data Classification .