Title :
Study of clustering validity based on fuzzy similarity
Author :
Jihong, Pei ; Xuan, Yang
Author_Institution :
Sch. of Electron. Eng., Xidian Univ., Xi´´an, China
Abstract :
A clustering validation method based on fuzzy similarity is presented, which is characterized by its distinct concept, low computing cost, and good robustness. Finally, two experiments have been carried out with satisfactory results
Keywords :
fuzzy set theory; pattern clustering; clustering validity; fuzzy similarity; low computing cost; robustness; Clustering algorithms; Costs; Fuzzy sets; Fuzzy systems; Partitioning algorithms; Prototypes; Robustness;
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
DOI :
10.1109/WCICA.2000.862479
