DocumentCode
3168314
Title
Dual centers Fuzzy Type-2 Clustering
Author
Zarandi, M.H.F. ; Golsefid, S. MalekMohamadi ; Bastani, Saeed
Author_Institution
Dept. of Ind. Eng., Amirkabir Univ. of Technol., Tehran, Iran
fYear
2013
fDate
24-28 June 2013
Firstpage
1215
Lastpage
1220
Abstract
This paper presents a new prototype of fuzzy type-2 clustering entitle Dual Center Fuzzy Type-2 Clustering based on possibilistic c-means(PCM). We mainly focus on uncertainty associated with the cluster centers and define a pair of points as center for each cluster. This model can recognize clusters with asymmetric shape. The results of proposed model on the sample data sets are compared with fuzzy type-1 clustering algorithms.
Keywords
fuzzy set theory; pattern clustering; PCM; dual centers fuzzy type-2 clustering; fuzzy type-1 clustering algorithms; possibilistic c-means;
fLanguage
English
Publisher
ieee
Conference_Titel
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location
Edmonton, AB
Type
conf
DOI
10.1109/IFSA-NAFIPS.2013.6608574
Filename
6608574
Link To Document