Richard J. Hathaway

发表

Scalable visual assessment of cluster tendency for large data sets

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, 2006, Pattern Recognit..

Optimization of clustering criteria by reformulation

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1995, IEEE Trans. Fuzzy Syst..

Density-Weighted Fuzzy c-Means Clustering

Richard J. Hathaway, Yingkang Hu, R. Hathaway, 2009, IEEE Transactions on Fuzzy Systems.

A parametric model for fusing heterogeneous fuzzy data

Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, 1996, IEEE Trans. Fuzzy Syst..

Clustering With The Relational C-Means Algorithms Using Different Measures Of Pairwise Distance

James C. Bezdek, John W. Davenport, Richard J. Hathaway, 1988, Defense, Security, and Sensing.

Nerf c-means: Non-Euclidean relational fuzzy clustering

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1994, Pattern Recognit..

Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, 2007, IEEE Transactions on Fuzzy Systems.

Some Notes on Alternating Optimization

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2002, AFSS.

Linguistic model for engine power loss

Bradley J. Bazuin, Matthew P. Castanier, Shabbir Hussain, 2013, 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems (CIVTS).

Fuzzy c-means clustering of incomplete data

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2001, IEEE Trans. Syst. Man Cybern. Part B.

Local convergence of tri-level alternating optimization

James C. Bezdek, Richard J. Hathaway, Yingkang Hu, 2001, Neural Parallel Sci. Comput..

Approximate clustering in very large relational data

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2006, Int. J. Intell. Syst..

Two nonparametric models for fusing heterogeneous fuzzy data

Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, 1998, IEEE Trans. Fuzzy Syst..

A parametric heterogeneous fuzzy data model

Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Generalized fuzzy c-means clustering strategies using Lp norm distances

James C. Bezdek, Richard J. Hathaway, Yingkang Hu, 2000, IEEE Trans. Fuzzy Syst..

On relational data versions of c-means algorithms

James C. Bezdek, John W. Davenport, Richard J. Hathaway, 1996, Pattern Recognit. Lett..

Generalized fuzzy c-means clustering in the presence of outlying data

John W. Davenport, Richard J. Hathaway, Yingkang Hu, 1999, Defense, Security, and Sensing.

Some new competitive learning schemes

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1995, SPIE Defense + Commercial Sensing.

An iterative procedure for minimizing a generalized sum-of-squared-errors clustering criterion

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1994, Neural Parallel Sci. Comput..

Kernelized Non-Euclidean Relational c-Means Algorithms

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, 2005, Neural Parallel Sci. Comput..

Tendency curves for visual clustering assessment

Richard J. Hathaway, Yingkang Hu, R. Hathaway, 2008 .

Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1996, Neural Networks.

Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review]

Lawrence O. Hall, Richard J. Hathaway, 1996, IEEE Transactions on Fuzzy Systems.

Parametric estimation for normal mixtures

James C. Bezdek, Richard J. Hathaway, Vicki J. Huggins, 1985, Pattern Recognit. Lett..

Maximin Initialization for Cluster Analysis

James C. Bezdek, Richard J. Hathaway, Jacalyn M. Huband, 2006, CIARP.

Fuzzy c-means clustering of partially missing data sets

James C. Bezdek, Richard J. Hathaway, Dessa D. Overstreet, 2000, SPIE Defense + Commercial Sensing.

Partitioning the variables for alternating optimization of real-valued scalar fields

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2002, 2002 Annual Meeting of the North American Fuzzy Information Processing Society Proceedings. NAFIPS-FLINT 2002 (Cat. No. 02TH8622).

Norm-induced shell-prototypes (NISP) clustering

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1995, Neural Parallel Sci. Comput..

Reply to "Comments on: optimality test for fixed points by Kim et al."

James C. Bezdek, Richard J. Hathaway, Taehwan Kim, 1990, Pattern Recognit..

Progressive sampling schemes for approximate clustering in very large data sets

James C. Bezdek, Richard J. Hathaway, 2004, 2004 IEEE International Conference on Fuzzy Systems (IEEE Cat. No.04CH37542).

Relational duals of the c-means clustering algorithms

James C. Bezdek, John W. Davenport, Richard J. Hathaway, 1989, Pattern Recognit..

Note on two clustering algorithms for relational network data

James C. Bezdek, Richard J. Hathaway, 1990, Defense, Security, and Sensing.

Optimization of fuzzy clustering criteria using genetic algorithms

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1994, Proceedings of the First IEEE Conference on Evolutionary Computation. IEEE World Congress on Computational Intelligence.

Visual cluster validity for prototype generator clustering models

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2003, Pattern Recognit. Lett..

Numerical convergence and interpretation of the fuzzy c-shells clustering algorithm

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1992, IEEE Trans. Neural Networks.

Repairs to GLVQ: a new family of competitive learning schemes

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1996, IEEE Trans. Neural Networks.

On efficiency of optimization in fuzzy c-Means

Richard J. Hathaway, Yingkang Hu, R. Hathaway, 2002, Neural Parallel Sci. Comput..

Relational data clustering with incomplete data

James C. Bezdek, Thomas E. Murphy, Richard J. Hathaway, 2001, SPIE Defense + Commercial Sensing.

Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2002, Pattern Recognit. Lett..

Optimality tests for fixed points of the fuzzy c-means algorithm

James C. Bezdek, Richard J. Hathaway, Taehwan Kim, 1988, Pattern Recognit..

Visual cluster validity (VCV) displays for prototype generator clustering methods

James C. Bezdek, Richard J. Hathaway, 2003, The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03..

Shell-prototype clustering models

James C. Bezdek, Nikhil R. Pal, Richard J. Hathaway, 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

Convergence of Alternating Optimization

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 2003, Neural Parallel Sci. Comput..

Local convergence of the fuzzy c-Means algorithms

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1986, Pattern Recognit..

Approximate data mining in very large relational data

Kotagiri Ramamohanarao, Christopher Leckie, James C. Bezdek, 2006, ADC.

Fusing heterogeneous fuzzy data for clustering

Witold Pedrycz, James C. Bezdek, Richard J. Hathaway, 1997, Defense, Security, and Sensing.

Numerical comparison of the RFCM and AP algorithms for clustering relational data

James C. Bezdek, Richard J. Hathaway, Michael P. Windham, 1991 .

Approximate clustering in very large relational data: Research Articles

Christopher Leckie, James C. Bezdek, Richard J. Hathaway, 2006 .

On the asymptotic properties of fuzzy c-means cluster prototypes as estimators of mixture subpopulation centers

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1986 .

Clustering with relational c-means partitions from pairwise distance data

James C. Bezdek, Richard J. Hathaway, J. Bezdek, 1987 .