DocumentCode
3478557
Title
A tabu search approach to the fuzzy clustering problem
Author
Delgado, Miguel ; Skármeta, Antonio Gómez ; Barberá, Humberto Martínez
Author_Institution
Dept. de Ciencias de la Comput. e Inteligencia Artificial, Granada Univ., Spain
Volume
1
fYear
1997
fDate
1-5 Jul 1997
Firstpage
125
Abstract
In this paper we consider the fuzzy clustering problem. This is a nonconvex problem that has many local minima. It has been studied by many researchers and the most well-known method is the fuzzy c-means algorithm. We develop a new algorithm for solving this problem based on a tabu search technique. Preliminary computational experience on the developed algorithm are encouraging and compare favorably with results from other methods
Keywords
data structures; fuzzy set theory; pattern recognition; search problems; fuzzy c-means algorithm; fuzzy clustering problem; local minima; nonconvex problem; tabu search; Clustering algorithms; Clustering methods; Erbium; Iterative algorithms; Partitioning algorithms; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
Conference_Location
Barcelona
Print_ISBN
0-7803-3796-4
Type
conf
DOI
10.1109/FUZZY.1997.616356
Filename
616356
Link To Document