Learning from incomplete data via parameterized t mixture models through eigenvalue decomposition
LinTsung-I · Computational Statistics & Data Analysis · 2014
A framework of using t mixture models with fourteen eigen-decomposed covariance structures for the unsupervised learning of heterogeneous multivariate data with possible missing values is designed ...