Improved possibilistic C-means clustering algorithms

Jiang She Zhang*, Yiu Wing LEUNG

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

159 Citations (Scopus)


A possibilistic approach was proposed in a previous paper for C-means clustering, and two algorithms realizing this approach were reported in two previous papers. Although the possibilistic approach is sound, these two algorithms tend to find identical clusters. In this paper, we modify and improve these algorithms to overcome their shortcoming. The numerical results demonstrate that the improved algorithms can determine proper clusters and they can realize the advantages of the possibilistic approach.

Original languageEnglish
Pages (from-to)209-217
Number of pages9
JournalIEEE Transactions on Fuzzy Systems
Issue number2
Publication statusPublished - Apr 2004

Scopus Subject Areas

  • Control and Systems Engineering
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Applied Mathematics

User-Defined Keywords

  • Approach
  • C-means
  • Clustering
  • Possibilistic


Dive into the research topics of 'Improved possibilistic C-means clustering algorithms'. Together they form a unique fingerprint.

Cite this