Iterative Feature Selection in Gaussian Mixture Clustering with Automatic Model Selection

摘要

This paper proposes an algorithm to deal with the feature selection in Gaussian mixture clustering by an iterative way: the algorithm iterates between the clustering and the unsupervised feature selection. First, we propose a quantitative measurement of t