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In this paper, we presents an augmented K-means clustering-weighted hyper line clustering(K-WHLC) approach to solve the problem of mixing matrix estimation for Bernoulli-Gaussian sources. This algorithm employs the K-means clustering method as the stage of initialization and then uses a recursive weighted approach to robustly localize the direction of hyper lines with the PCA technology. Furthermore,...
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