Possibility theoretic clustering

Shitong Wang, Fu Lai Korris Chung, Min Xu, Dewen Hu, Lin Qing

Research output: Journal article publicationConference articleAcademic researchpeer-review

2 Citations (Scopus)

Abstract

Based on the exponential possibility model, the possibility theoretic clustering algorithm is proposed in this paper. The new algorithm is distinctive in determining an appropriate number of clusters for a given dataset while obtaining a quality clustering result. The proposed algorithm can be easily implemented using an alternative minimization iterative procedure and its parameters can be effectively initialized by the Parzon window technique and Yager's probability-possibility transformation. Our experimental results demonstrate its success in artificial datasets.
Original languageEnglish
Pages (from-to)849-858
Number of pages10
JournalLecture Notes in Computer Science
Volume3644
Issue numberPART I
Publication statusPublished - 31 Oct 2005
EventInternational Conference on Intelligent Computing, ICIC 2005 - Hefei, China
Duration: 23 Aug 200526 Aug 2005

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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