Richard J. Hathaway

Proceedings of the IEEE International Conference on Data Mining Workshops, 2022

2013

Linguistic model for engine power loss.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2013

2009

Density-Weighted Fuzzy c-Means Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2009

2007

Visual Assessment of Clustering Tendency for Rectangular Dissimilarity Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2007

2006

Scalable visual assessment of cluster tendency for large data sets.

[BibT_eX]

[DOI]

Pattern Recognit., 2006

Approximate clustering in very large relational data.

[BibT_eX]

[DOI]

Kotagiri Ramamohanarao

Int. J. Intell. Syst., 2006

Extending fuzzy and probabilistic clustering to very large data sets.

[BibT_eX]

[DOI]

Comput. Stat. Data Anal., 2006

Maximin Initialization for Cluster Analysis.

[BibT_eX]

[DOI]

Proceedings of the Progress in Pattern Recognition, 2006

Approximate data mining in very large relational data.

[BibT_eX]

[DOI]

Christopher Leckie

Kotagiri Ramamohanarao

Proceedings of the Database Technologies 2006, 2006

2005

bigVAT: Visual assessment of cluster tendency for large data sets.

[BibT_eX]

[DOI]

Pattern Recognit., 2005

Kernelized Non-Euclidean Relational c-Means Algorithms.

[BibT_eX]

Neural Parallel Sci. Comput., 2005

Kernelized Non-Euclidean Relational Fuzzy c-Means Algorithm.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2005

2004

Progressive sampling schemes for approximate clustering in very large data sets.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Fuzzy Systems, 2004

2003

Visual cluster validity for prototype generator clustering models.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2003

Convergence of Alternating Optimization.

[BibT_eX]

[DOI]

Neural Parallel Sci. Comput., 2003

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

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE International Conference on Fuzzy Systems, 2003

2002

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

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2002

On efficiency of optimization in fuzzy c-Means.

[BibT_eX]

[DOI]

Neural Parallel Sci. Comput., 2002

Partitioning the Variables for Alternating Optimization of Real-Valued Scalar Fields.

[BibT_eX]

Proceedings of the Pattern Recognition in Information Systems, 2002

Some Notes on Alternating Optimization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Soft Computing, 2002

2001

Fuzzy c-means clustering of incomplete data.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2001

Local convergence of tri-level alternating optimization.

[BibT_eX]

[DOI]

Neural Parallel Sci. Comput., 2001

2000

Generalized fuzzy c-means clustering strategies using L<sub>p</sub> norm distances.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 2000

1998

Two nonparametric models for fusing heterogeneous fuzzy data.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 1998

1996

Repairs to GLVQ: a new family of competitive learning schemes.

[BibT_eX]

[DOI]

Nicolaos B. Karayiannis

IEEE Trans. Neural Networks, 1996

A parametric model for fusing heterogeneous fuzzy data.

[BibT_eX]

[DOI]

Witold Pedrycz

IEEE Trans. Fuzzy Syst., 1996

Fuzzy Systems Toolbox, Fuzzy Logic Toolbox [Software Review].

[BibT_eX]

[DOI]

Lawrence O. Hall

IEEE Trans. Fuzzy Syst., 1996

On relational data versions of c-means algorithms.

[BibT_eX]

[DOI]

John W. Davenport

Pattern Recognit. Lett., 1996

Sequential Competitive Learning and the Fuzzy c-Means Clustering Algorithms.

[BibT_eX]

[DOI]

Nikhil R. Pal

Neural Networks, 1996

1995

Optimization of clustering criteria by reformulation.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 1995

Norm-induced shell-prototypes (NISP) clustering.

[BibT_eX]

[DOI]

Nikhil R. Pal

Neural Parallel Sci. Comput., 1995

Shell-prototype clustering models.

[BibT_eX]

[DOI]

Nikhil R. Pal

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

A parametric heterogeneous fuzzy data model.

[BibT_eX]

[DOI]

Witold Pedrycz

Proceedings of International Conference on Neural Networks (ICNN'95), Perth, WA, Australia, November 27, 1995

1994

Nerf <i>c</i>-means: Non-Euclidean relational fuzzy clustering.

[BibT_eX]

[DOI]

Pattern Recognit., 1994

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

[BibT_eX]

[DOI]

Neural Parallel Sci. Comput., 1994

Optimization of Fuzzy Clustering Criteria Using Genetic Algorithms.

[BibT_eX]

[DOI]

Proceedings of the First IEEE Conference on Evolutionary Computation, 1994

1993

Switching regression models and fuzzy clustering.

[BibT_eX]

[DOI]

IEEE Trans. Fuzzy Syst., 1993

1992

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

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 1992

1990

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

[BibT_eX]

[DOI]

Taehwan Kim

Pattern Recognit., 1990

1989

Relational duals of the c-means clustering algorithms.

[BibT_eX]

[DOI]

John W. Davenport

Pattern Recognit., 1989

1988

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

[BibT_eX]

[DOI]

Taehwan Kim

Pattern Recognit., 1988

1986

Local convergence of the fuzzy c-Means algorithms.

[BibT_eX]

[DOI]

Pattern Recognit., 1986

1985

Parametric estimation for normal mixtures.

[BibT_eX]

[DOI]