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Journal of Global Optimization

, Volume 38, Issue 4, pp 581–596 | Cite as

Two level minimization in multidimensional scaling

  • Antanas ŽilinskasEmail author
  • Julius Žilinskas
Original Article

Abstract

Multidimensional scaling with city block norm in embedding space is considered. Construction of the corresponding algorithm is reduced to minimization of a piecewise quadratic function. The two level algorithm is developed combining combinatorial minimization at upper level with local minimization at lower level. Results of experimental investigation of the efficiency of the proposed algorithm are presented as well as examples of its application to visualization of multidimensional data.

Keywords

Multilevel optimization Multidimensional scaling Metaheuristics Global optimization 

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Copyright information

© Springer Science+Business Media, Inc. 2006

Authors and Affiliations

  1. 1.Institute of Mathematics and InformaticsVilniusLithuania

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