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
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;
Conference_Titel :
IFSA World Congress and NAFIPS Annual Meeting (IFSA/NAFIPS), 2013 Joint
Conference_Location :
Edmonton, AB
DOI :
10.1109/IFSA-NAFIPS.2013.6608574