DocumentCode
3025588
Title
Fuzzy clustering with a fuzzy covariance matrix
Author
Gustafson, D.E. ; Kessel, W.C.
Author_Institution
Scientific Systems, Inc., Cambridge, Massachusetts
fYear
1979
fDate
10-12 Jan. 1979
Firstpage
761
Lastpage
766
Abstract
A class of fuzzy ISODATA clustering algorithms has been developed previously which includes fuzzy means. This class of algorithms is generalized to include fuzzy covariances. The resulting algorithm closely resembles maximum likelihood estimation of mixture densities. It is argued that use of fuzzy covariances is a natural approach to fuzzy clustering. Experimental results are presented which indicate that more accurate clustering may be obtained by using fuzzy covariances.
Keywords
Biological systems; Clustering algorithms; Covariance matrix; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Medical diagnosis; Partitioning algorithms; Pattern analysis; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control including the 17th Symposium on Adaptive Processes, 1978 IEEE Conference on
Conference_Location
San Diego, CA, USA
Type
conf
DOI
10.1109/CDC.1978.268028
Filename
4046215
Link To Document