Title :
An Algorithm for Detecting Unimodal Fuzzy Sets and Its Application as a Clustering Technique
Author :
Gitman, Israel ; Levine, Martin D.
fDate :
7/1/1970 12:00:00 AM
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.;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/T-C.1970.222992
