Partition: Square Data Table
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.
KeywordsOrganization Design Block Model Agglomerative Cluster Boolean Matrix Indicator Matrix
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