Graph Partitioning by Correspondence Analysis and Taxicab Correspondence Analysis

  • Authors:
  • Vartan Choulakian;Jules Tibeiro

  • Affiliations:
  • Dépt. de Math./Statistique, Université de Moncton, Moncton, Canada E1A 3E9;Secteur Sciences, Université de Moncton, Shippagan, Canada

  • Venue:
  • Journal of Classification
  • Year:
  • 2013

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Abstract

We consider correspondence analysis (CA) and taxicab correspondence analysis (TCA) of relational datasets that can mathematically be described as weighted loopless graphs. Such data appear in particular in network analysis. We present CA and TCA as relaxation methods for the graph partitioning problem. Examples of real datasets are provided.