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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.
Index Terms:
Clustering algorithms, multimodal data sets, pattern recognition, symmetric fuzzy sets, unimodal fuzzy sets.
Citation:
I. Gitman, M.D. Levine, "An Algorithm for Detecting Unimodal Fuzzy Sets and Its Application as a Clustering Technique," IEEE Transactions on Computers, vol. 19, no. 7, pp. 583-593, July 1970, doi:10.1109/T-C.1970.222992
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