DocumentCode
3320163
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
Volume
2
fYear
2010
fDate
5-7 May 2010
Firstpage
326
Lastpage
329
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communication Control and Automation (3CA), 2010 International Symposium on
Conference_Location
Tainan
Print_ISBN
978-1-4244-5565-2
Type
conf
DOI
10.1109/3CA.2010.5533481
Filename
5533481
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