Probabilistic validation approach for clustering

M. Har-even, V. L. Brailovsky*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


The suggested approach combines the phases of cluster validity and cluster tendency inside the scope of the clustering algorithm. The algorithm is based on a probabilistic approach and is invariant to the scaling of features. The result is an efficient algorithm whose performance is demonstrated on real and synthetic data.

Original languageEnglish
Pages (from-to)1189-1196
Number of pages8
JournalPattern Recognition Letters
Issue number11
StatePublished - Nov 1995


  • Cluster analysis
  • Probabilistic validation
  • Projection pursuit
  • Simulating annealing
  • Unsupervised hierarchical clustering


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