Author

Yi-Fan Dai

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Review Open access Oct 2026

A Selective Review of Statistical Significance in Cluster Analysis

Cluster analysis can return apparent subgroups even when the observations arise from a population without scientifically meaningful cluster structure. Formal tests of clustering significance therefore require a definition of homogeneity, a statistic measuring the observed structure, and a calibration procedure that acc...

Yi-Fan Dai, Hui Shen, Yu-Feng Liu · Methodology and Computing in... · 0 citations

#machine learning Preprint Oct 2026

Neural Supervised Clustering for Learning Individualized Treatment Rules with Many Treatments

Learning an individualized treatment rule (ITR) with many treatments requires estimating treatment-specific effects from limited observations per arm. Treatments with similar conditional responses can share information, but linear contrast models may miss nonlinear heterogeneity. We propose nonlinear supervised cluster...

Da-Xin Huang, Yi-Xin Yuan, Yi-Fan Dai et al. · 0 citations