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Clusterability test for categorical data: A testing-based approach to assess the clusterability of categorical data (2023)

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TestCat

assess the clusterability of categorical data DOI

To run the testing-based approach, execute demo.m (for Matlab) or demo.R (for R). These scripts call the functions defined in TestCat.m or TestCat.R, and count_attribute_pairs.m or Count_attribute_pairs.R respectively.

For the compared methods, the following scripts run the respective methods:

  • DistanceMethods.R (2 methods): Dip-dist, Silv-dist
  • DimensionalityReductionMethods.R (6 methods): MDS Dip, MDS Silv, tSNE Dip, tSNE Silv, UMAP Dip, UMAP Silv
  • EmbeddingMethods.R (4 methods): PCA Dip, PCA Silv, SPCA Dip, SPCA Silv

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Clusterability test for categorical data: A testing-based approach to assess the clusterability of categorical data (2023)

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