Title :
A novel validity index for fuzzy clustering algorithm
Author :
Shieh, Horng-lin ; Chang, Po-lun
Author_Institution :
Dept. of Electr. Eng., St. John´´s Univ., Taipei, Taiwan
Abstract :
This paper proposes a new validity index for the subtractive clustering (SC) algorithm. The subtractive clustering algorithm proposed by Chiu is an effective and simple method for identifying the cluster centers of sampling data based on the concept of a density function. In this paper, a modified SC algorithm for data clustering based on a cluster validity index is proposed to obtain the optimal number of clusters.
Keywords :
fuzzy set theory; pattern clustering; density function; fuzzy clustering algorithm; sampling data clusters; subtractive clustering algorithm; validity index; Automatic control; Automation; Clustering algorithms; Communication system control; Density functional theory; Equations; Fuzzy control; Paper technology; Sampling methods; Virtual colonoscopy; Validity index; clustering algorithm; potential; subtractive clustering (SC) algorithm;
Conference_Titel :
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location :
Tainan
Print_ISBN :
978-1-4244-5565-2
DOI :
10.1109/3CA.2010.5533481
