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Clustering via D. C. Optimization

  • Hoang Thy
  • A. M. Bagirov
  • A. M. Rubinov
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 54)

Abstract

The cluster analysis problem is formulated as a problem of global minimization of a function represented as a difference of two convex functions over the unit simplex. The version of branch and bound method for the solution of this problem is studied. Computational testing of suggested algorithm was carried out on Wisconsin Diagnostic Breast Cancer database. We present the results of numerical experiments and discuss them.

Keywords

global optimization d.c. optimization clustering data mining 

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Copyright information

© Kluwer Academic Publishers 2001

Authors and Affiliations

  • Hoang Thy
    • 1
  • A. M. Bagirov
    • 2
  • A. M. Rubinov
    • 2
  1. 1.Institute of MathematicsBo Ho, HanoiVietnam
  2. 2.School of Information Technology and Mathematical SciencesUniversity of BallaratBallarat, VictoriaAustralia

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