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Graph Partitioning by Correspondence Analysis and Taxicab Correspondence Analysis
Authors:Vartan Choulakian  Jules de Tibeiro
Affiliation:1. Dépt. de Math./Statistique, Université de Moncton, Moncton, NB, Canada, E1A 3E9
2. Secteur Sciences, Université de Moncton, Shippagan, NB, Canada
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.
Keywords:
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