A New Criterion for Clusters Validation

  title={A New Criterion for Clusters Validation},
  author={Hosein Alizadeh and Behrouz Minaei-Bidgoli and Hamid Parvin},
In this paper a new criterion for clusters validat ion is proposed. This new cluster validation criterion is used to approxi mate the goodness of a cluster. The clusters which satisfy a threshold of this measure are selected to participate in clustering ensemble. For combining t he chosen clusters, a coassociation based consensus function is applied. Si nce the Evidence Accumulation Clustering method cannot derive the co -association matrix from a subset of clusters, a new EAC based method… CONTINUE READING

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Cluster Ensemble Methods: f rom Single Clusterings to Combined Solutions

  • A. Fred, A. Lourenco
  • Studies in Computational Intelligence (S CI…
  • 2008
1 Excerpt

Multi-objecti ve Clustering Ensemble

  • K. Faceli, C. P. Marcilio, D. Souto
  • Proceedings of the Sixth International Conference…
  • 2006
1 Excerpt

Stabi lity-based model selection

  • T. Lange, M. L. Braun, V. Roth, J. M. Buhmann
  • In Advances in Neural Information Processing…
  • 2003
1 Excerpt

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