Combinatorial optimisation and hierarchical classifications

Combinatorial optimisation and hierarchical classifications

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Article ID: iaor20083318
Country: Netherlands
Volume: 153
Issue: 1
Start Page Number: 179
End Page Number: 214
Publication Date: Sep 2007
Journal: Annals of Operations Research
Authors: , ,
Keywords: statistics: multivariate
Abstract:

This paper is devoted to some selected topics relating Combinatorial Optimization and Hierarchical Classification. It is oriented toward extensions of the standard classification schemes (the hierarchies): pyramids, quasi-hierarchies, circular clustering, rigid clustering and others. Bijection theorems between these models and dissimilarity models allow to state some clustering problems as optimization problems. Within the galaxy of optimization we have especially discussed the following: NP-completeness results and search for polynomial instances; problems solved in a polynomial time (e.g. subdominant theory); design, analysis and applications of algorithms. In contrast with the orientation to ‘new’ clustering problems, the last part discusses some standard algorithmic approaches.

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