DocumentCode
3168339
Title
Fuzzy type-2 c-ellipses clustering
Author
Golsefid, S. MalekMohamadi ; Zarandi, M.H.F. ; Bastani, Saeed
Author_Institution
Dept. of Ind. Eng., Amirkabir Univ. of Technol., Tehran, Iran
fYear
2013
fDate
24-28 June 2013
Firstpage
1221
Lastpage
1226
Abstract
In this paper, a new prototype for fuzzy type-2 clustering is proposed. The proposed model considers ellipsoid shape for clusters and ellipsoid focal vectors are basis for measuring the distance from clusters, instead of cluster centers. Therefore, the degrees of belonging to clusters are defined as interval fuzzy type-2 sets indicated by the upper and lower membership values. The results of proposed model on the sample data sets are compared with fuzzy c-ellipsoid clustering algorithms.
Keywords
fuzzy set theory; pattern clustering; vectors; ellipsoid focal vectors; ellipsoid shape; fuzzy type-2 c-ellipse clustering; interval fuzzy type-2 sets; lower membership values; upper membership values; Clustering algorithms; Ellipsoids; Linear programming; Mathematical model; Prototypes; Shape; Uncertainty;
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.2013.6608575
Filename
6608575
Link To Document