A Sparse PCA Approach to Clustering

Clustering of high-dimensional data under the Gaussian mixture model is an important problem in statistics. In the high-dimensional setting, classical clustering methods, such as the Expectation-Maximization (EM) algorithm, do not perform well due to the large number of free parameters.