Visual cluster validity for prototype generator clustering models

Conventional cluster validity techniques usually represent all the validity information available about a particular clustering by a single number. The display method introduced here uses images generated from the results of any prototype generator clustering algorithm to do cluster validation.

[1]  Robert F. Ling,et al.  A computer generated aid for cluster analysis , 1973, CACM.

[2]  James C. Bezdek,et al.  Some new indexes of cluster validity , 1998, IEEE Trans. Syst. Man Cybern. Part B.

[3]  James M. Keller,et al.  Fuzzy Models and Algorithms for Pattern Recognition and Image Processing , 1999 .

[4]  R. Fisher.  THE USE OF MULTIPLE MEASUREMENTS IN TAXONOMIC PROBLEMS , 1936 .

[5]  James M. Keller,et al.  A possibilistic approach to clustering , 1993, IEEE Trans. Fuzzy Syst..

[6]  James C. Bezdek,et al.  Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.

[7]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[8]  Charles E. Heckler,et al.  Applied Multivariate Statistical Analysis , 2005, Technometrics.

[9]  James C. Bezdek,et al.  A geometric approach to cluster validity for normal mixtures , 1997, Soft Comput..

[10]  R.J. Hathaway,et al.  Switching regression models and fuzzy clustering , 1993, IEEE Trans. Fuzzy Syst..

[11]  J. Bezdek,et al.  VAT: a tool for visual assessment of (cluster) tendency , 2002, Proceedings of the 2002 International Joint Conference on Neural Networks. IJCNN'02 (Cat. No.02CH37290).