Simultaneous variable weighting and determining the number of clusters—A weighted Gaussian means algorithm

We propose a simple variable (feature) weight learning strategy for the Gaussian means algorithm which can automatically determine the number of clusters in a dataset as well. We investigate some important theoretical properties and convergence behavior of the proposed algorithm.