DocumentCode
1105443
Title
An Algorithm for Detecting Unimodal Fuzzy Sets and Its Application as a Clustering Technique
Author
Gitman, Israel ; Levine, Martin D.
Issue
7
fYear
1970
fDate
7/1/1970 12:00:00 AM
Firstpage
583
Lastpage
593
Abstract
An algorithm is presented which partitions a given sample from a multimodal fuzzy set into unimodal fuzzy sets. It is proven that if certain assumptions are satisfied, then the algorithm will derive the optimal partition in the sense of maximum separation.
Keywords
Clustering algorithms, multimodal data sets, pattern recognition, symmetric fuzzy sets, unimodal fuzzy sets.; Clustering algorithms; Covariance matrix; Distributed computing; Fuzzy sets; Helium; Multidimensional systems; Partitioning algorithms; Pattern recognition; Shape; Taxonomy; Clustering algorithms, multimodal data sets, pattern recognition, symmetric fuzzy sets, unimodal fuzzy sets.;
fLanguage
English
Journal_Title
Computers, IEEE Transactions on
Publisher
ieee
ISSN
0018-9340
Type
jour
DOI
10.1109/T-C.1970.222992
Filename
1671585
Link To Document