Probabilistic D-clustering


Ben-Israel A., Iyigun C.

JOURNAL OF CLASSIFICATION, vol.25, no.1, pp.5-26, 2008 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 25 Issue: 1
  • Publication Date: 2008
  • Doi Number: 10.1007/s00357-008-9002-z
  • Journal Name: JOURNAL OF CLASSIFICATION
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus
  • Page Numbers: pp.5-26
  • Keywords: clustering, probabilistic clustering, Mahalanobis distance, harmonic mean, joint distance function, Weiszfeld method, similarity matrix
  • Middle East Technical University Affiliated: Yes

Abstract

We present a new iterative method for probabilistic clustering of data. Given clusters, their centers and the distances of data points from these centers, the probability of cluster membership at any point is assumed inversely proportional to the distance from (the center of) the cluster in question. This assumption is our working principle.