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Local Modelling in Classification on Different Feature Subspaces

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  • Szepannek, Gero
  • Weihs, Claus

Abstract

Sometimes one may be confronted with classification problems where classes are constituted of several subclasses that possess different distributions and therefore destroy accurate models of the entire classes as one similar group. An issue is modelling via local models of several subclasses. In this paper, a method is presented of how to handle such classification problems where the subclasses are furthermore characterized by different subsets of the variables. Situations are outlined and tested where such local models in different variable subspaces dramatically improve the classification error.

Suggested Citation

  • Szepannek, Gero & Weihs, Claus, 2006. "Local Modelling in Classification on Different Feature Subspaces," Technical Reports 2006,08, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
    • Handle: RePEc:zbw:sfb475:200608
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    File URL: https://www.econstor.eu/bitstream/10419/22650/1/tr08-06.pdf
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    1. Szepannek, Gero & Ligges, Uwe & Luebke, Karsten & Raabe, Nils & Weihs, Claus, 2005. "Local Models in Register Classification by Timbre," Technical Reports 2005,47, Technische Universität Dortmund, Sonderforschungsbereich 475: Komplexitätsreduktion in multivariaten Datenstrukturen.
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