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Partition: Square Data Table

  • Boris Mirkin
Part of the Nonconvex Optimization and Its Applications book series (NOIA, volume 11)

Abstract

  • Forms of representing and comparing partitions are reviewed.

  • Mathematical analysis of some of the agglomerative clustering axioms is presented.

  • Approximation clustering methods for aggregating square data tables are suggested along with associated mathematical theories:
    • Uniform partitioning as based on a “soft” similarity threshold;

    • Structured partitioning (along with the structure of between-class associations);

    • Aggregation of mobility and other aggregable interaction data as based on chi-squared criterion and underlying substantive modeling.

Keywords

Organization Design Block Model Agglomerative Cluster Boolean Matrix Indicator Matrix 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Kluwer Academic Publishers 1996

Authors and Affiliations

  • Boris Mirkin
    • 1
  1. 1.DIMACSRutgers UniversityUSA

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