Fuzzy clustering and classification: combining fuzzy partition

• Torra Vicenc

  IIIA-CSIC

• Miyamoto Sadaaki

  University of Tsukuba

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.

Journal

• SCIS & ISIS

  SCIS & ISIS 2006 (0), 1901-1906, 2006

  Japan Society for Fuzzy Theory and Intelligent Informatics

Keywords

• clustering
• classification
• membership functions

Details

• CRID: 1390001205590417920
• NII Article ID: 130004672457
• DOI: 10.14864/softscis.2006.0.1901.0
• Text Lang: en
• Data Source:
  • JaLC
  • CiNii Articles
• Abstract License Flag: Disallowed