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Algorithms of fuzzy clustering with partial supervision

Pattern Recognition LettersPublished 1 January 1985
Witold Pedrycz
Citations147
SJR quartileQ1
SJR score1.00
SNIP1.43

TL;DR

Methods of fuzzy clustering based minimization of a scalar performance index with the aid of some labelled patterns and some modifications of the performance index that take into account the results of partial supervision are proposed.

Abstract

The paper is concerned with methods of fuzzy clustering based minimization of a scalar performance index with the aid of some labelled patterns. Some modifications of the performance index that take into account the results of partial supervision are proposed. The results of the algorithms introduced are exemplified by the use of numerical examples (Gustafson's cross and EKG data set).

Keywords

Computer Science