SIAM Journal on Applied Mathematics, Vol. 40, No. 2 (Apr., 1981), pp. 339-357 (19 pages) In Part I, a generalization of the Fuzzy c-Means (or Fuzzy ISODATA) clustering algorithms is developed.
THE MINIMUM DESCRIPTION LENGTH PRINCIPLE AS APPLIED TO MULTIVARIATE CLUSTERING ANALYSIS WITH ISODATA
The ISODATA clustering analysis based on the theory of fuzzy sets makes use of the concept of membership degree, and thus more objectively and reasonably handles the relation between individuals and ...
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