A new effective soft clustering method. Sectional set fuzzy C-means (S2FCM) clustering

Author

Jihong, Pei ; Jiulun, Fan ; Weixin, Xie ; Xuan, Yang

Author_Institution

Dept. of Electron. Eng., Xidian Univ., Xi´´an, China

Volume

1

fYear

1996

fDate

14-18 Oct 1996

Firstpage

773

Abstract

A new effective soft clustering method-sectional set fuzzy C-means (S2FCM) clustering is presented, in which the ideas of traditional “hard” clustering (HCM) and “fuzzy” clustering (FCM) are united and generalized. A effective λ value (λ∈[0,1] is a factor of fuzzy sectional set) of S2FCM is λ=0.5+1/2c (c is the total number of clusters). The main idea of the proposed method accords with procedure of a human´s partition process in pattern recognition. Experimental results show S2FCM clustering method´s effectiveness and advantage

Keywords

fuzzy set theory; pattern classification; clustering method; experimental results; fuzzy sectional set; hard clustering; human partition process; pattern classification; pattern recognition; sectional set fuzzy C-means clustering; soft clustering method; Algorithm design and analysis; Classification algorithms; Clustering algorithms; Clustering methods; Fuzzy sets; Partitioning algorithms; Pattern analysis; Pattern classification; Pattern recognition; Symmetric matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing, 1996., 3rd International Conference on

Conference_Location

Beijing

Print_ISBN

0-7803-2912-0

Type

conf

DOI

10.1109/ICSIGP.1996.567377

Filename

567377