Clusterability test for categorical data

https://link.springer.com/article/10.1007/s10115-024-02317-x

[PDF] arxiv.org

To run the clusterability method, 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

Citation

If you find my code useful please consider citing:

@article{Hu2025Clusterability,
  title={Clusterability test for categorical data},
  author={Hu, Lianyu and Dong, Junjie and Jiang, Mudi and Liu, Yan and He, Zengyou},
  journal={Knowledge and Information Systems},
  year={2025},
  number={5},
  pages={4113--4138},
  volume={67},
  doi={10.1007/s10115-024-02317-x}
}