| 2009 |
|---|
| 66 | EE | Liang Wang,
Christopher Leckie,
Kotagiri Ramamohanarao,
James C. Bezdek:
Approximate Spectral Clustering.
PAKDD 2009: 134-146 |
| 65 | EE | 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) |
| 2008 |
|---|
| 64 | EE | Isaac J. Sledge,
Jacalyn M. Huband,
James C. Bezdek:
(Automatic) Cluster Count Extraction from Unlabeled Data Sets.
FSKD (1) 2008: 3-13 |
| 63 | EE | Liang Wang,
Xin Geng,
James C. Bezdek,
Christopher Leckie,
Kotagiri Ramamohanarao:
SpecVAT: Enhanced Visual Cluster Analysis.
ICDM 2008: 638-647 |
| 62 | EE | 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 |
| 61 | EE | Jacalyn M. Huband,
James C. Bezdek:
VCV2 - Visual Cluster Validity.
WCCI 2008: 293-308 |
| 60 | EE | 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) |
| 2007 |
|---|
| 59 | EE | Sutharshan Rajasegarar,
Christopher Leckie,
Marimuthu Palaniswami,
James C. Bezdek:
Quarter Sphere Based Distributed Anomaly Detection in Wireless Sensor Networks.
ICC 2007: 3864-3869 |
| 58 | EE | 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 |
| 57 | EE | 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) |
| 2006 |
|---|
| 56 | EE | James C. Bezdek,
Richard J. Hathaway,
Christopher Leckie,
Kotagiri Ramamohanarao:
Approximate data mining in very large relational data.
ADC 2006: 3-13 |
| 55 | EE | Richard J. Hathaway,
James C. Bezdek,
Jacalyn M. Huband:
Maximin Initialization for Cluster Analysis.
CIARP 2006: 14-26 |
| 54 | EE | 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) |
| 53 | EE | 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) |
| 52 | EE | 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) |
| 51 | EE | 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) |
| 2005 |
|---|
| 50 | EE | James C. Bezdek:
Three Visual Cluster Validity Methods for Object and Relational Data.
EUSFLAT Conf. 2005: 11-11 |
| 49 | EE | 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) |
| 48 | EE | 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) |
| 47 | EE | 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) |
| 2003 |
|---|
| 46 | EE | Thomas A. Runkler,
James C. Bezdek:
Web mining with relational clustering.
Int. J. Approx. Reasoning 32(2-3): 217-236 (2003) |
| 45 | EE | Richard J. Hathaway,
James C. Bezdek:
Visual cluster validity for prototype generator clustering models.
Pattern Recognition Letters 24(9-10): 1563-1569 (2003) |
| 2002 |
|---|
| 44 | EE | James C. Bezdek,
Richard J. Hathaway:
Some Notes on Alternating Optimization.
AFSS 2002: 288-300 |
| 43 | | 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 |
| 42 | | James C. Bezdek,
Richard J. Hathaway:
Partitioning the Variables for Alternating Optimization of Real-Valued Scalar Fields.
PRIS 2002: 1-19 |
| 41 | | 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) |
| 40 | EE | 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) |
| 2001 |
|---|
| 39 | | 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) |
| 38 | | 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) |
| 37 | | James C. Bezdek,
Ludmila Kuncheva:
Nearest prototype classifier designs: An experimental study.
Int. J. Intell. Syst. 16(12): 1445-1473 (2001) |
| 36 | EE | 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) |
| 35 | EE | 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) |
| 2000 |
|---|
| 34 | EE | James C. Bezdek,
Ludmila Kuncheva:
Some Notes on Twenty One (21) Nearest Prototype Classifiers.
SSPR/SPR 2000: 1-16 |
| 1999 |
|---|
| 33 | | Lawrence O. Hall,
Ibrahim Burak Özyurt,
James C. Bezdek:
Clustering with a genetically optimized approach.
IEEE Trans. Evolutionary Computation 3(2): 103-112 (1999) |
| 32 | EE | Ludmila I. Kuncheva,
James C. Bezdek:
Presupervised and post-supervised prototype classifier design.
IEEE Transactions on Neural Networks 10(5): 1142-1152 (1999) |
| 1998 |
|---|
| 31 | | 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) |
| 30 | | Amine Bensaid,
James C. Bezdek:
Semi-supervised Point Prototype Clustering.
IJPRAI 12(4): 625-643 (1998) |
| 29 | EE | 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) |
| 1997 |
|---|
| 28 | EE | 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) |
| 1996 |
|---|
| 27 | EE | 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) |
| 26 | EE | Amine Bensaid,
Lawrence O. Hall,
James C. Bezdek,
Laurence P. Clarke:
Partially supervised clustering for image segmentation.
Pattern Recognition 29(5): 859-871 (1996) |
| 25 | EE | 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) |
| 1995 |
|---|
| 24 | EE | James C. Bezdek,
Nikhil R. Pal:
Cluster Validation with Generalized Dunn's Indices.
ANNES 1995: 190-193 |
| 23 | EE | James C. Bezdek:
Hybrid modeling in pattern recognition and control.
Knowl.-Based Syst. 8(6): 359-371 (1995) |
| 22 | EE | James C. Bezdek,
Nikhil R. Pal:
Two soft relatives of learning vector quantization.
Neural Networks 8(5): 729-743 (1995) |
| 21 | EE | James C. Bezdek,
Nikhil R. Pal:
An index of topological preservation for feature extraction.
Pattern Recognition 28(3): 381-391 (1995) |
| 1994 |
|---|
| 20 | | James C. Bezdek,
Srinivas Boggavarapu,
Lawrence O. Hall,
Amine Bensaid:
Genetic Algorithm Guided Clustering.
International Conference on Evolutionary Computation 1994: 34-39 |
| 19 | | James C. Bezdek,
Richard J. Hathaway:
Optimization of Fuzzy Clustering Criteria Using Genetic Algorithms.
International Conference on Evolutionary Computation 1994: 589-594 |
| 18 | EE | Richard J. Hathaway,
James C. Bezdek:
Nerf c-means: Non-Euclidean relational fuzzy clustering.
Pattern Recognition 27(3): 429-437 (1994) |
| 17 | EE | Eric Chen-Kuo Tsao,
James C. Bezdek,
Nikhil R. Pal:
Fuzzy Kohonen clustering networks.
Pattern Recognition 27(5): 757-764 (1994) |
| 1992 |
|---|
| 16 | EE | James C. Bezdek:
On the relationship between neural networks, pattern recognition and intelligence.
Int. J. Approx. Reasoning 6(2): 85-107 (1992) |
| 15 | EE | 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) |
| 1990 |
|---|
| 14 | EE | 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) |
| 1989 |
|---|
| 13 | EE | Richard J. Hathaway,
John W. Davenport,
James C. Bezdek:
Relational duals of the c-means clustering algorithms.
Pattern Recognition 22(2): 205-212 (1989) |
| 1988 |
|---|
| 12 | | Gautam Biswas,
James C. Bezdek:
A Linuistic Transitive Closure Method for Completion and Consistency of Uncertain Knowledge.
ISMIS 1988: 1-10 |
| 11 | EE | 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) |
| 10 | EE | 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) |
| 9 | EE | 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) |
| 1987 |
|---|
| 8 | | 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 |
| 7 | EE | James C. Bezdek:
A message from the editor.
Int. J. Approx. Reasoning 1(1): 1-3 (1987) |
| 1986 |
|---|
| 6 | | 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) |
| 5 | EE | Richard J. Hathaway,
James C. Bezdek:
Local convergence of the fuzzy c-Means algorithms.
Pattern Recognition 19(6): 477-480 (1986) |
| 1985 |
|---|
| 4 | | Gautam Biswas,
V. Subramanian,
James C. Bezdek:
A Knowledge-Based System Approach to Document Retrieval.
CAIA 1985: 455-460 |
| 1983 |
|---|
| 3 | | James C. Bezdek:
Guest Editorial and Conference Report.
International Journal of Man-Machine Studies 19(1): 1-3 (1983) |
| 1976 |
|---|
| 2 | EE | James C. Bezdek:
Feature selection for binary data: medical diagnosis with fuzzy sets.
AFIPS National Computer Conference 1976: 1057-1068 |
| 1975 |
|---|
| 1 | | 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) |
