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EPIA
2001
Springer

Proportional Membership in Fuzzy Clustering as a Model of Ideal Types

14 years 3 months ago
Proportional Membership in Fuzzy Clustering as a Model of Ideal Types
The goal of this paper is to further investigate the extreme behaviour of the proportional membership model (FCPM) in contrast to the central tendency of fuzzy c-means (FCM). A data set from the ¯eld of psychiatry has been used for the experimental study, where the cluster prototypes are indeed extreme, expressing the concept of `ideal type'. While augmenting the original data set with patients bearing less severe syndromes, it is shown that the prototypes found by FCM are changed towards the more moderate characteristics of the data, in contrast with the almost unchanged prototypes found by FCPM, highlighting its suitability to model the concept of `ideal type'.
Susana Nascimento, Boris Mirkin, Fernando Moura-Pi
Added 28 Jul 2010
Updated 28 Jul 2010
Type Conference
Year 2001
Where EPIA
Authors Susana Nascimento, Boris Mirkin, Fernando Moura-Pires
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