A Sparse PCA Approach to Clustering
  We discuss a clustering method for Gaussian mixture model based on the sparse principal component analysis (SPCA) method and compare it with the IF-PCA method. We also discuss the dependent case where the covariance matrix $\Sigma$ is not necessarily diagonal. 
T.Tony Cai, Linjun Zhang
stat.ME stat.ML