Clustering and Feature Selection using Sparse Principal Component Analysis

Ronny Luss, Alexandre d'Aspremont

In this paper, we study the application of sparse principal component analysis (PCA) to clustering and feature selection problems. Sparse PCA seeks sparse factors, or linear combin…