Title :
Visual cluster validity (VCV) displays for prototype generator clustering methods
Author :
Bezdek, James C. ; Hathaway, Richard J.
Author_Institution :
Comput. Sci. Dept., Univ. of West Florida, Pensacola, FL, USA
Abstract :
Conventional cluster validity techniques usually represent all the validity information available about a particular clustering by a single number. The display method introduced here is an alternative to standard validity functionals. The proposed approach uses intensity images generated from the results of any prototype generator clustering algorithm as a means for cluster validation. Several numerical examples are given to illustrate the method.
Keywords :
data visualisation; fuzzy set theory; pattern clustering; cluster validation; display method; intensity images; prototype generator clustering algorithm; single number; standard validity functionals; visual cluster validity displays; Clustering algorithms; Clustering methods; Computer displays; Computer science; Fuzzy logic; Fuzzy sets; Image generation; Partitioning algorithms; Prototypes; Shape;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1206546