James C. Bezdek

Timothy C. Havens, James C. Bezdek: A new formulation of the coVAT algorithm for visual assessment of clustering tendency in rectangular data. Int. J. Intell. Syst. 27(6): 590-612 (2012)

Timothy C. Havens, James C. Bezdek, Christopher Leckie, Lawrence O. Hall, Marimuthu Palaniswami: Fuzzy c-Means Algorithms for Very Large Data. IEEE T. Fuzzy Systems 20(6): 1130-1146 (2012)

Timothy C. Havens, James C. Bezdek: An Efficient Formulation of the Improved Visual Assessment of Cluster Tendency (iVAT) Algorithm. IEEE Trans. Knowl. Data Eng. 24(5): 813-822 (2012)

Timothy C. Havens, James C. Bezdek, Marimuthu Palaniswami: Cluster validity for kernel fuzzy clustering. FUZZ-IEEE 2012: 1-8

Jonathon K. Parker, Lawrence O. Hall, James C. Bezdek: Comparison of scalable fuzzy clustering methods. FUZZ-IEEE 2012: 1-9

Anna Wilbik, James M. Keller, James C. Bezdek: Generation of prototypes from sets of linguistic summaries. FUZZ-IEEE 2012: 1-8

Sutharshan Rajasegarar, James C. Bezdek, Masud Moshtaghi, Christopher Leckie, Timothy C. Havens, Marimuthu Palaniswami: Measures for clustering and anomaly detection in sets of higher dimensional ellipsoids. IJCNN 2012: 1-8

James C. Bezdek, Sutharshan Rajasegarar, Masud Moshtaghi, Christopher Leckie, Marimuthu Palaniswami, Timothy C. Havens: Anomaly Detection in Environmental Monitoring Networks [Application Notes]. IEEE Comp. Int. Mag. 6(2): 52-58 (2011)

Masud Moshtaghi, Timothy C. Havens, James C. Bezdek, Laurence A. F. Park, Christopher Leckie, Sutharshan Rajasegarar, James M. Keller, Marimuthu Palaniswami: Clustering ellipses for anomaly detection. Pattern Recognition 44(1): 55-69 (2011)

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek: Approximate pairwise clustering for large data sets via sampling plus extension. Pattern Recognition 44(2): 222-235 (2011)

James C. Bezdek: Fuzzy C-means cluster analysis. Scholarpedia 6(7): 2057 (2011)

Derek T. Anderson, James M. Keller, Ozy Sjahputera, James C. Bezdek, Mihail Popescu: Comparing soft clusters and partitions. FUZZ-IEEE 2011: 924-931

Masud Moshtaghi, Christopher Leckie, Shanika Karunasekera, James C. Bezdek, Sutharshan Rajasegarar, Marimuthu Palaniswami: Incremental Elliptical Boundary Estimation for Anomaly Detection in Wireless Sensor Networks. ICDM 2011: 467-476

Mihail Popescu, James M. Keller, James C. Bezdek, Timothy C. Havens: Correlation cluster validity. SMC 2011: 2531-2536

Isaac J. Sledge, James C. Bezdek, Timothy C. Havens, James M. Keller: Relational Generalizations of Cluster Validity Indices. IEEE T. Fuzzy Systems 18(4): 771-786 (2010)

Derek T. Anderson, James C. Bezdek, Mihail Popescu, James M. Keller: Comparing Fuzzy, Probabilistic, and Possibilistic Partitions. IEEE T. Fuzzy Systems 18(5): 906-918 (2010)

Isaac J. Sledge, Timothy C. Havens, James C. Bezdek, James M. Keller: Relational Duals of Cluster-Validity Functions for the c -Means Family. IEEE T. Fuzzy Systems 18(6): 1160-1170 (2010)

Sutharshan Rajasegarar, Christopher Leckie, James C. Bezdek, Marimuthu Palaniswami: Centered hyperspherical and hyperellipsoidal one-class support vector machines for anomaly detection in sensor networks. IEEE Transactions on Information Forensics and Security 5(3): 518-533 (2010)

Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao: Enhanced Visual Analysis for Cluster Tendency Assessment and Data Partitioning. IEEE Trans. Knowl. Data Eng. 22(10): 1401-1414 (2010)

Shaoyi Zhang, Kotagiri Ramamohanarao, James C. Bezdek: EP-based robust weighting scheme for fuzzy SVMs. ADC 2010: 123-132

James C. Bezdek, Timothy C. Havens, James M. Keller, Christopher Leckie, Laurence A. F. Park: Clustering elliptical anomalies in sensor networks. FUZZ-IEEE 2010: 1-8

Isaac J. Sledge, James C. Bezdek, Timothy C. Havens, James M. Keller: A relational dual of the fuzzy possibilistic c-means algorithm. FUZZ-IEEE 2010: 1-9

Timothy C. Havens, James C. Bezdek, James M. Keller: A New Implementation of the co-VAT Algorithm for Visual Assessment of Clusters in Rectangular Relational Data. ICAISC (1) 2010: 363-371

Timothy C. Havens, James C. Bezdek, Marimuthu Palaniswami: Incremental Kernel Fuzzy c-Means. IJCCI (Selected Papers) 2010: 3-18

James C. Bezdek: (Mostly) Fuzzy Clustering in Very Large Data Sets. IJCCI (ICFC-ICNC) 2010: 5

Derek T. Anderson, James C. Bezdek, James M. Keller, Mihail Popescu: A Comparison of Five Fuzzy Rand Indices. IPMU (1) 2010: 446-454

Liang Wang, Uyen T. V. Nguyen, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao: iVAT and aVAT: Enhanced Visual Analysis for Cluster Tendency Assessment. PAKDD (1) 2010: 16-27

Timothy C. Havens, James C. Bezdek, James M. Keller, Mihail Popescu, Jacalyn M. Huband: Is VAT really single linkage in disguise? Ann. Math. Artif. Intell. 55(3-4): 237-251 (2009)

Timothy C. Havens, James C. Bezdek, James M. Keller, Mihail Popescu: Clustering in ordered dissimilarity data. Int. J. Intell. Syst. 24(5): 504-528 (2009)

Isaac J. Sledge, Timothy C. Havens, Jacalyn M. Huband, James C. Bezdek, James M. Keller: Finding the number of clusters in ordered dissimilarities. Soft Comput. 13(12): 1125-1142 (2009)

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek: Automatically Determining the Number of Clusters in Unlabeled Data Sets. IEEE Trans. Knowl. Data Eng. 21(3): 335-350 (2009)

Sutharshan Rajasegarar, James C. Bezdek, Christopher Leckie, Marimuthu Palaniswami: Elliptical anomalies in wireless sensor networks. TOSN 6(1) (2009)

Laurence A. F. Park, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek: Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis. Australasian Conference on Artificial Intelligence 2009: 301-311

Mihail Popescu, James C. Bezdek, James M. Keller: eCCV: A new fuzzy cluster validity measure for large relational bioinformatics datasets. FUZZ-IEEE 2009: 1003-1008

Laurence A. F. Park, James C. Bezdek, Christopher Leckie: Visualization of clusters in very large rectangular dissimilarity data. ICARA 2009: 251-256

Liang Wang, Christopher Leckie, Kotagiri Ramamohanarao, James C. Bezdek: Approximate Spectral Clustering. PAKDD 2009: 134-146

Liang Wang, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao: Selective sampling for approximate clustering of very large data sets. Int. J. Intell. Syst. 23(3): 313-331 (2008)

Isaac J. Sledge, Jacalyn M. Huband, James C. Bezdek: (Automatic) Cluster Count Extraction from Unlabeled Data Sets. FSKD (1) 2008: 3-13

Timothy C. Havens, James M. Keller, Mihail Popescu, James C. Bezdek: Ontological self-organizing maps for cluster visualization and functional summarization of gene products using Gene Ontology similarity measures. FUZZ-IEEE 2008: 104-109

Mihail Popescu, James C. Bezdek, James M. Keller, Timothy C. Havens, Jacalyn M. Huband: A new cluster validity measure for bioinformatics relational datasets. FUZZ-IEEE 2008: 726-731

Liang Wang, Xin Geng, James C. Bezdek, Christopher Leckie, Kotagiri Ramamohanarao: SpecVAT: Enhanced Visual Cluster Analysis. ICDM 2008: 638-647

Timothy C. Havens, James C. Bezdek, James M. Keller, Mihail Popescu: Dunn's cluster validity index as a contrast measure of VAT images. ICPR 2008: 1-4

Jacalyn M. Huband, James C. Bezdek: VCV2 - Visual Cluster Validity. WCCI 2008: 293-308

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband: Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices. IEEE T. Fuzzy Systems 15(5): 890-903 (2007)

Sutharshan Rajasegarar, Christopher Leckie, Marimuthu Palaniswami, James C. Bezdek: Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks. ICC 2007: 3864-3869

Liang Wang, Christopher Leckie, Xiaozhe Wang, Kotagiri Ramamohanarao, James C. Bezdek: Tensor Space Learning for Analyzing Activity Patterns from Video Sequences. ICDM Workshops 2007: 63-68

Richard J. Hathaway, James C. Bezdek: Extending fuzzy and probabilistic clustering to very large data sets. Computational Statistics & Data Analysis 51(1): 215-234 (2006)

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, Christopher Leckie, Kotagiri Ramamohanarao: Approximate clustering in very large relational data. Int. J. Intell. Syst. 21(8): 817-841 (2006)

James M. Keller, James C. Bezdek, Mihail Popescu, Nikhil R. Pal, Joyce A. Mitchell, Jacalyn M. Huband: Gene Ontology Similarity Measures Based on Linear Order Statistics. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 14(6): 639-661 (2006)

Richard J. Hathaway, James C. Bezdek, Jacalyn M. Huband: Scalable visual assessment of cluster tendency for large data sets. Pattern Recognition 39(7): 1315-1324 (2006)

James C. Bezdek, Richard J. Hathaway, Christopher Leckie, Kotagiri Ramamohanarao: Approximate data mining in very large relational data. ADC 2006: 3-13

Richard J. Hathaway, James C. Bezdek, Jacalyn M. Huband: Maximin Initialization for Cluster Analysis. CIARP 2006: 14-26

Kuhu Pal, Nikhil R. Pal, James M. Keller, James C. Bezdek: Relational mountain (density) clustering method and web log analysis. Int. J. Intell. Syst. 20(3): 375-392 (2005)

Richard J. Hathaway, James C. Bezdek, Jacalyn M. Huband: Kernelized Non-Euclidean Relational c-Means Algorithms. Neural Parallel & Scientific Comp. 13: 305-326 (2005)

Nikhil R. Pal, James M. Keller, Mihail Popescu, James C. Bezdek, Joyce A. Mitchell, Jacalyn M. Huband: Gene Ontology-based Knowledge Discovery Through Fuzzy Cluster Analysis. Neural Parallel & Scientific Comp. 13: 337-362 (2005)

Jacalyn M. Huband, James C. Bezdek, Richard J. Hathaway: bigVAT: Visual assessment of cluster tendency for large data sets. Pattern Recognition 38(11): 1875-1886 (2005)

Nikhil R. Pal, Kuhu Pal, James M. Keller, James C. Bezdek: A Possibilistic Fuzzy c-Means Clustering Algorithm. IEEE T. Fuzzy Systems 13(4): 517-530 (2005)

James C. Bezdek: Three Visual Cluster Validity Methods for Object and Relational Data. EUSFLAT Conf. 2005: 11-11

Thomas A. Runkler, James C. Bezdek: Web mining with relational clustering. Int. J. Approx. Reasoning 32(2-3): 217-236 (2003)

James C. Bezdek, Richard J. Hathaway: Convergence of Alternating Optimization. Neural Parallel & Scientific Comp. 11(4): 351-368 (2003)

Richard J. Hathaway, James C. Bezdek: Visual cluster validity for prototype generator clustering models. Pattern Recognition Letters 24(9-10): 1563-1569 (2003)

Richard J. Hathaway, James C. Bezdek: Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm. Pattern Recognition Letters 23(1-3): 151-160 (2002)

Richard Buse, Zhi-Qiang Liu, James C. Bezdek: Word recognition using fuzzy logic. IEEE T. Fuzzy Systems 10(1): 65-76 (2002)

Nikhil R. Pal, James C. Bezdek: Complexity reduction for "large image" processing. IEEE Transactions on Systems, Man, and Cybernetics, Part B 32(5): 598-611 (2002)

James C. Bezdek, Nikhil R. Pal, Thomas A. Runkler, Kuhu Pal: Should Tendency Assessment Precede Rule Extraction by Clustering? (No!). Advances in Computational Intelligence and Learning 2002: 17-41

James C. Bezdek, Richard J. Hathaway: Some Notes on Alternating Optimization. AFSS 2002: 288-300

James C. Bezdek, Richard J. Hathaway: Partitioning the Variables for Alternating Optimization of Real-Valued Scalar Fields. PRIS 2002: 1-19

James C. Bezdek, Ludmila Kuncheva: Nearest prototype classifier designs: An experimental study. Int. J. Intell. Syst. 16(12): 1445-1473 (2001)

David DeKruger, Jesse Hodge, James C. Bezdek, James M. Keller, Paul D. Gader: Detecting mobile land targets in LADAR imagery with fuzzy algorithms. Journal of Intelligent and Fuzzy Systems 10(3-4): 197-213 (2001)

Richard J. Hathaway, Yingkang Hu, James C. Bezdek: Local convergence of tri-level alternating optimization. Neural Parallel & Scientific Comp. 9(1): 19-28 (2001)

Ludmila Kuncheva, James C. Bezdek, Robert P. W. Duin: Decision templates for multiple classifier fusion: an experimental comparison. Pattern Recognition 34(2): 299-314 (2001)

Nikhil R. Pal, Tobias C. Cahoon, James C. Bezdek, Kuhu Pal: A new approach to target recognition for LADAR data. IEEE T. Fuzzy Systems 9(1): 44-52 (2001)

Zhi-Qiang Liu, Leonard T. Bruton, James C. Bezdek, James M. Keller, Sandy Dance, N. R. Bartley, Cishen Zhang: Dynamic image sequence analysis using fuzzy measures. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(4): 557-572 (2001)

Richard J. Hathaway, James C. Bezdek: Fuzzy c-means clustering of incomplete data. IEEE Transactions on Systems, Man, and Cybernetics, Part B 31(5): 735-744 (2001)

Richard J. Hathaway, James C. Bezdek, Yingkang Hu: Generalized fuzzy c-means clustering strategies using L_p norm distances. IEEE T. Fuzzy Systems 8(5): 576-582 (2000)

James C. Bezdek, Ludmila Kuncheva: Some Notes on Twenty One (21) Nearest Prototype Classifiers. SSPR/SPR 2000: 1-16

Lawrence O. Hall, Ibrahim Burak Özyurt, James C. Bezdek: Clustering with a genetically optimized approach. IEEE Trans. Evolutionary Computation 3(2): 103-112 (1999)

James C. Bezdek, James M. Keller, Raghu Krishnapuram, Ludmila I. Kuncheva, Nikhil R. Pal: Will the real iris data please stand up? IEEE T. Fuzzy Systems 7(3): 368-369 (1999)

Thomas A. Runkler, James C. Bezdek: Alternating cluster estimation: a new tool for clustering and function approximation. IEEE T. Fuzzy Systems 7(4): 377-393 (1999)

Ludmila I. Kuncheva, James C. Bezdek: Presupervised and post-supervised prototype classifier design. IEEE Transactions on Neural Networks 10(5): 1142-1152 (1999)

Amine Bensaid, James C. Bezdek: Semi-supervised Point Prototype Clustering. IJPRAI 12(4): 625-643 (1998)

Ludmila I. Kuncheva, James C. Bezdek: An Integrated Framework for Generalized Nearest Prototype Classifier Design. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 6(5): 437-458 (1998)

James C. Bezdek, Ramachandran Chandrasekhar, Y. Attikouzel: A geometric approach to edge detection. IEEE T. Fuzzy Systems 6(1): 52-75 (1998)

Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, G. Wesley Rogers: Two nonparametric models for fusing heterogeneous fuzzy data. IEEE T. Fuzzy Systems 6(3): 411-425 (1998)

James C. Bezdek, Thomas Reichherzer, Sok Gek Lim, Yianni Attikiouzel: Multiple-prototype classifier design. IEEE Transactions on Systems, Man, and Cybernetics, Part C 28(1): 67-79 (1998)

Ludmila I. Kuncheva, James C. Bezdek: Nearest prototype classification: clustering, genetic algorithms, or random search? IEEE Transactions on Systems, Man, and Cybernetics, Part C 28(1): 160-164 (1998)

James C. Bezdek, Nikhil R. Pal: Some new indexes of cluster validity. IEEE Transactions on Systems, Man, and Cybernetics, Part B 28(3): 301-315 (1998)

James C. Bezdek, Wanqing Li, Yianni Attikiouzel, Michael P. Windham: A geometric approach to cluster validity for normal mixtures. Soft Comput. 1(4): 166-179 (1997)

Nikhil R. Pal, James C. Bezdek: Correction to "On Cluster Validity for the Fuzzy c-Means Model" [Correspondence]. IEEE T. Fuzzy Systems 5(1): 152-153 (1997)

Nicolaos B. Karayiannis, James C. Bezdek: An integrated approach to fuzzy learning vector quantization and fuzzy c-means clustering. IEEE T. Fuzzy Systems 5(4): 622-628 (1997)

Nikhil R. Pal, James C. Bezdek, Richard J. Hathaway: Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms. Neural Networks 9(5): 787-796 (1996)

Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke: Partially supervised clustering for image segmentation. Pattern Recognition 29(5): 859-871 (1996)

Richard J. Hathaway, James C. Bezdek, John W. Davenport: On relational data versions of c-means algorithms. Pattern Recognition Letters 17(6): 607-612 (1996)

Amine Bensaid, Lawrence O. Hall, James C. Bezdek, Laurence P. Clarke, Martin L. Silbiger, John A. Arrington, F. Reed Murtagh: Validity-guided (re)clustering with applications to image segmentation. IEEE T. Fuzzy Systems 4(2): 112-123 (1996)

Richard J. Hathaway, James C. Bezdek, Witold Pedrycz: A parametric model for fusing heterogeneous fuzzy data. IEEE T. Fuzzy Systems 4(3): 270-281 (1996)

Nicolaos B. Karayiannis, James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, Pin-I Pai: Repairs to GLVQ: a new family of competitive learning schemes. IEEE Trans. Neural Netw. Learning Syst. 7(5): 1062-1071 (1996)

James C. Bezdek: Hybrid modeling in pattern recognition and control. Knowl.-Based Syst. 8(6): 359-371 (1995)

James C. Bezdek, Nikhil R. Pal: Two soft relatives of learning vector quantization. Neural Networks 8(5): 729-743 (1995)

James C. Bezdek, Richard J. Hathaway, Nikhil R. Pal: Norm-induced shell-prototypes (NISP) clustering. Neural Parallel & Scientific Comp. 3(4): 431-449 (1995)

James C. Bezdek, Nikhil R. Pal: An index of topological preservation for feature extraction. Pattern Recognition 28(3): 381-391 (1995)

Richard J. Hathaway, James C. Bezdek: Optimization of clustering criteria by reformulation. IEEE T. Fuzzy Systems 3(2): 241-245 (1995)

Nikhil R. Pal, James C. Bezdek: On cluster validity for the fuzzy c-means model. IEEE T. Fuzzy Systems 3(3): 370-379 (1995)

James C. Bezdek, Nikhil R. Pal: A note on self-organizing semantic maps. IEEE Trans. Neural Netw. Learning Syst. 6(5): 1029-1036 (1995)

James C. Bezdek, Nikhil R. Pal: Cluster Validation with Generalized Dunn's Indices. ANNES 1995: 190-193

Richard J. Hathaway, James C. Bezdek: An iterative procedure for minimizing a generalized sum-of-squared-errors clustering criterion. Neural Parallel & Scientific Comp. 2(1): 1-16 (1994)

Richard J. Hathaway, James C. Bezdek: Nerf c-means: Non-Euclidean relational fuzzy clustering. Pattern Recognition 27(3): 429-437 (1994)

Eric Chen-Kuo Tsao, James C. Bezdek, Nikhil R. Pal: Fuzzy Kohonen clustering networks. Pattern Recognition 27(5): 757-764 (1994)

James C. Bezdek: The thirsty traveler visits Gamont: a rejoinder to "Comments on fuzzy sets-what are they and why?". IEEE T. Fuzzy Systems 2(1): 43-45 (1994)

Nikhil R. Pal, James C. Bezdek: Measuring fuzzy uncertainty. IEEE T. Fuzzy Systems 2(2): 107-118 (1994)

James C. Bezdek, Srinivas Boggavarapu, Lawrence O. Hall, Amine Bensaid: Genetic Algorithm Guided Clustering. International Conference on Evolutionary Computation 1994: 34-39

James C. Bezdek, Richard J. Hathaway: Optimization of Fuzzy Clustering Criteria Using Genetic Algorithms. International Conference on Evolutionary Computation 1994: 589-594

James C. Bezdek: Fuzzy models - What are they, and why? [Editorial]. IEEE T. Fuzzy Systems 1(1): 1-6 (1993)

Richard J. Hathaway, James C. Bezdek: Switching regression models and fuzzy clustering. IEEE T. Fuzzy Systems 1(3): 195-204 (1993)

James C. Bezdek: On the relationship between neural networks, pattern recognition and intelligence. Int. J. Approx. Reasoning 6(2): 85-107 (1992)

Nikhil R. Pal, James C. Bezdek, Rohan Hemasinha: Uncertainty measures for evidential reasoning I: A review. Int. J. Approx. Reasoning 7(3-4): 165-183 (1992)

Leon Bobrowski, James C. Bezdek: c-means clustering with the l_l and l_∞ norms. IEEE Transactions on Systems, Man, and Cybernetics 21(3): 545-554 (1991)

Taehwan Kim, James C. Bezdek, Richard J. Hathaway: Reply to "Comments on: optimality test for fixed points by Kim et al.". Pattern Recognition 23(11): 1309-1310 (1990)

Richard J. Hathaway, John W. Davenport, James C. Bezdek: Relational duals of the c-means clustering algorithms. Pattern Recognition 22(2): 205-212 (1989)

James C. Bezdek, Er-Woon Chiou: Core zone scatterplots: A new approach to feature extraction for visual displays. Computer Vision, Graphics, and Image Processing 41(2): 186-209 (1988)

Sridhar Vasudevan, Robert L. Cannon, James C. Bezdek, William L. Cameron: Heuristics for intermediate level road finding algorithms. Computer Vision, Graphics, and Image Processing 44(2): 175-190 (1988)

Taehwan Kim, James C. Bezdek, Richard J. Hathaway: Optimality tests for fixed points of the fuzzy c-means algorithm. Pattern Recognition 21(6): 651-663 (1988)

Gautam Biswas, James C. Bezdek: A Linuistic Transitive Closure Method for Completion and Consistency of Uncertain Knowledge. ISMIS 1988: 1-10

James C. Bezdek: A message from the editor. Int. J. Approx. Reasoning 1(1): 1-3 (1987)

Gautam Biswas, James C. Bezdek, Marisol Marques, Viswanath Subramanian: Knowledge-assisted document retrieval: I. The natural-language interface. JASIS 38(2): 83-96 (1987)

Gautam Biswas, James C. Bezdek, Viswanath Subramanian, Marisol Marques: Knowledge-assisted document retrieval: II. The retrieval process. JASIS 38(2): 97-110 (1987)

Miao-Li Pai, Gautam Biswas, Christopher Kendall, James C. Bezdek: Towards the Design of a Knowledge Based System for Hypercarbon Play Analysis. ISMIS 1987: 248-255

James C. Bezdek, Gautam Biswas, Li-ya Huang: Transitive Closures of Fuzzy Thesauri for Information-Retrieval Systems. International Journal of Man-Machine Studies 25(3): 343-356 (1986)

Robert L. Cannon, Jitendra V. Dave, James C. Bezdek: Efficient Implementation of the Fuzzy c-Means Clustering Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 8(2): 248-255 (1986)

Richard J. Hathaway, James C. Bezdek: Local convergence of the fuzzy c-Means algorithms. Pattern Recognition 19(6): 477-480 (1986)

Gautam Biswas, Viswanath Subramanian, James C. Bezdek: A Knowledge-Based System Approach to Document Retrieval. CAIA 1985: 455-460

Ian M. Anderson, James C. Bezdek: Curvature and Tangential Deflection of Discrete Arcs: A Theory Based on the Commutator of Scatter Matrix Pairs and Its Application to Vertex Detection in Planar Shape Data. IEEE Trans. Pattern Anal. Mach. Intell. 6(1): 27-40 (1984)

James C. Bezdek: Guest Editorial and Conference Report. International Journal of Man-Machine Studies 19(1): 1-3 (1983)

James C. Bezdek, Michael P. Windham, Robert Ehrlich: Statistical parameters of cluster validity functionals. International Journal of Parallel Programming 9(4): 323-336 (1980)

James C. Bezdek: Feature selection for binary data: medical diagnosis with fuzzy sets. AFIPS National Computer Conference 1976: 1057-1068

James C. Bezdek, Joseph C. Dunn: Optimal Fuzzy Partitions: A Heuristic for Estimating the Parameters in a Mixture of Normal Distributions. IEEE Trans. Computers 24(8): 835-838 (1975)