A Bayesian Finite Mixture Model with Variable Selection for Data with Mixed-type Variables

no code implementations • 9 May 2019 • Shu Wang, Jonathan G. Yabes, Chung-Chou H. Chang

To address these challenges, we propose a Bayesian finite mixture model to simultaneously conduct variable selection, account for biomarker LOD and obtain clustering results.

Clustering Variable Selection

Hybrid Density- and Partition-based Clustering Algorithm for Data with Mixed-type Variables

no code implementations • 6 May 2019 • Shu Wang, Jonathan G. Yabes, Chung-Chou H. Chang

However, algorithms that can cluster data with mixed variable types (continuous and categorical) remain limited, despite the abundance of data with mixed types particularly in the medical field.

Clustering