Parametric estimation for normal mixtures. - James C. Bezdek; Richard J. Hathaway; Vicki J. Huggins (Pattern Recognit. Lett., 1985)

Local convergence of the fuzzy c-Means algorithms. - Richard J. Hathaway; James C. Bezdek (Pattern Recognit., 1986)

Optimality tests for fixed points of the fuzzy c-means algorithm. - Taehwan Kim 008; James C. Bezdek; Richard J. Hathaway (Pattern Recognit., 1988)

Relational duals of the c-means clustering algorithms. - Richard J. Hathaway; John W. Davenport; James C. Bezdek (Pattern Recognit., 1989)

Reply to "Comments on: optimality test for fixed points by Kim et al.". - Taehwan Kim 008; James C. Bezdek; Richard J. Hathaway (Pattern Recognit., 1990)

Numerical convergence and interpretation of the fuzzy c-shells clustering algorithm. - James C. Bezdek; Richard J. Hathaway (IEEE Trans. Neural Networks, 1992)

Switching regression models and fuzzy clustering. - Richard J. Hathaway; James C. Bezdek (IEEE Trans. Fuzzy Syst., 1993)

Optimization of Fuzzy Clustering Criteria Using Genetic Algorithms. - James C. Bezdek; Richard J. Hathaway (International Conference on Evolutionary Computation, 1994)

An iterative procedure for minimizing a generalized sum-of-squared-errors clustering criterion. - Richard J. Hathaway; James C. Bezdek (Neural Parallel Sci. Comput., 1994)

Nerf c-means: Non-Euclidean relational fuzzy clustering. - Richard J. Hathaway; James C. Bezdek (Pattern Recognit., 1994)

A parametric heterogeneous fuzzy data model. - James C. Bezdek; Richard J. Hathaway; Witold Pedrycz (ICNN, 1995)

Shell-prototype clustering models. - James C. Bezdek; Richard J. Hathaway; Nikhil R. Pal (ICNN, 1995)

Norm-induced shell-prototypes (NISP) clustering. - James C. Bezdek; Richard J. Hathaway; Nikhil R. Pal (Neural Parallel Sci. Comput., 1995)

Optimization of clustering criteria by reformulation. - Richard J. Hathaway; James C. Bezdek (IEEE Trans. Fuzzy Syst., 1995)

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

On relational data versions of c-means algorithms. - Richard J. Hathaway; James C. Bezdek; John W. Davenport (Pattern Recognit. Lett., 1996)

Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review]. - Lawrence O. Hall; Richard J. Hathaway (IEEE Trans. Fuzzy Syst., 1996)

A parametric model for fusing heterogeneous fuzzy data. - Richard J. Hathaway; James C. Bezdek; Witold Pedrycz (IEEE Trans. Fuzzy Syst., 1996)

Repairs to GLVQ: a new family of competitive learning schemes. - Nicolaos B. Karayiannis; James C. Bezdek; Nikhil R. Pal; Richard J. Hathaway; Pin-I Pai (IEEE Trans. Neural Networks, 1996)

Two nonparametric models for fusing heterogeneous fuzzy data. - Witold Pedrycz; James C. Bezdek; Richard J. Hathaway; G. Wesley Rogers (IEEE Trans. Fuzzy Syst., 1998)

Generalized fuzzy c-means clustering strategies using Lp norm distances. - Richard J. Hathaway; James C. Bezdek; Yingkang Hu (IEEE Trans. Fuzzy Syst., 2000)

Local convergence of tri-level alternating optimization. - Richard J. Hathaway; Yingkang Hu; James C. Bezdek (Neural Parallel Sci. Comput., 2001)

Fuzzy c-means clustering of incomplete data. - Richard J. Hathaway; James C. Bezdek (IEEE Trans. Syst. Man Cybern. Part B, 2001)

Some Notes on Alternating Optimization. - James C. Bezdek; Richard J. Hathaway (AFSS, 2002)

Partitioning the Variables for Alternating Optimization of Real-Valued Scalar Fields. - James C. Bezdek; Richard J. Hathaway (PRIS, 2002)

On efficiency of optimization in fuzzy c-Means. - Yingkang Hu; Richard J. Hathaway (Neural Parallel Sci. Comput., 2002)

Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm. - Richard J. Hathaway; James C. Bezdek (Pattern Recognit. Lett., 2002)

Visual cluster validity (VCV) displays for prototype generator clustering methods. - James C. Bezdek; Richard J. Hathaway (FUZZ-IEEE, 2003)

Convergence of Alternating Optimization. - James C. Bezdek; Richard J. Hathaway (Neural Parallel Sci. Comput., 2003)

Visual cluster validity for prototype generator clustering models. - Richard J. Hathaway; James C. Bezdek (Pattern Recognit. Lett., 2003)

Progressive sampling schemes for approximate clustering in very large data sets. - James C. Bezdek; Richard J. Hathaway (FUZZ-IEEE, 2004)

Kernelized Non-Euclidean Relational Fuzzy c-Means Algorithm. - Richard J. Hathaway; Jacalyn M. Huband; James C. Bezdek (FUZZ-IEEE, 2005)

Kernelized Non-Euclidean Relational c-Means Algorithms. - Richard J. Hathaway; James C. Bezdek; Jacalyn M. Huband (Neural Parallel Sci. Comput., 2005)

bigVAT: Visual assessment of cluster tendency for large data sets. - Jacalyn M. Huband; James C. Bezdek; Richard J. Hathaway (Pattern Recognit., 2005)

Approximate data mining in very large relational data. - James C. Bezdek; Richard J. Hathaway; Christopher Leckie; Kotagiri Ramamohanarao (ADC, 2006)

Maximin Initialization for Cluster Analysis. - Richard J. Hathaway; James C. Bezdek; Jacalyn M. Huband (CIARP, 2006)

Extending fuzzy and probabilistic clustering to very large data sets. - Richard J. Hathaway; James C. Bezdek (Comput. Stat. Data Anal., 2006)

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

Scalable visual assessment of cluster tendency for large data sets. - Richard J. Hathaway; James C. Bezdek; Jacalyn M. Huband (Pattern Recognit., 2006)

Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices. - James C. Bezdek; Richard J. Hathaway; Jacalyn M. Huband (IEEE Trans. Fuzzy Syst., 2007)

Density-Weighted Fuzzy c-Means Clustering. - Richard J. Hathaway; Yingkang Hu (IEEE Trans. Fuzzy Syst., 2009)

Linguistic model for engine power loss. - Janos L. Grantner; Bradley J. Bazuin; Claudia Fajardo; Richard J. Hathaway; Jumana Al-shawawreh; Liang Dong 001; Matthew P. Castanier; Shabbir Hussain (CIVTS, 2013)

Diagonally Colorized iVAT Images for Labeled Data. - Elizabeth D. Hathaway; Richard J. Hathaway (ICDM (Workshops), 2022)