BioinformaticsbioRxivPreprint
Exploring automated Feature Selection for Model-based and Density-based clustering with application to NCI 60 data
The paper compares feature selection methods for clustering, finding that principal component-based k-means outperforms Clustvarsel and DBSCAN on NCI-60 data.