Fuzzy clustering and classification: combining fuzzy partition

Vicenc Torra; Sadaaki Miyamoto

doi:10.14864/softscis.2006.0.1901.0

SCIS & ISIS 2006

Session ID : SA-F3-2

DOI https://doi.org/10.14864/softscis.2006.0.1901.0

Conference information

Host: Japan SOciety for Fuzzy Theory and intelligent informatics

Co-host: The Korea Fuzzy Logic and Intelligent Systems Society, IEEE Computational Intelligence Society, The International Fuzzy Systems Association, 21th Century COE Program "Creation of Agent-Based Social Systems Sciences"

SA-F3 Clustering (2)

Fuzzy clustering and classification: combining fuzzy partition

Vicenc Torra, *Sadaaki Miyamoto

Author information

Keywords: clustering, classification, membership functions

CONFERENCE PROCEEDINGS FREE ACCESS

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Abstract

In this paper we study the use of fuzzy clustering for its application to classification problems. We apply the approach to the classification of gene expressions. We discuss the problem of aggregating the fuzzy partitions obtained from the fuzzy clustering. We propose an algorithm similar to $k$-nearest neighbor for solving some of the difficulties that appear in this problem.

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