Title :
An extension of partially supervised fuzzy cluster analysis
Author :
Timm, Heiko ; Klawonn, Frank ; Kruse, Rudolf
Author_Institution :
Dept. of Knowledge Process. & Language Eng., Otto-von-Guericke-Univ. of Magdeburg, Germany
Abstract :
We propose an approach to handling class information in fuzzy cluster analysis, where a class can consist of several clusters. The approach is based on a penalty term for clusters comprising several clusters.
Keywords :
fuzzy set theory; minimisation; pattern classification; pattern clustering; probability; class information; objective function based approach; partially supervised fuzzy cluster analysis; penalty term; Clustering algorithms; Computer science; Equations; Fuzzy sets; Information analysis; Prototypes; Shape; Zinc;
Conference_Titel :
Fuzzy Information Processing Society, 2002. Proceedings. NAFIPS. 2002 Annual Meeting of the North American
Print_ISBN :
0-7803-7461-4
DOI :
10.1109/NAFIPS.2002.1018031
