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Clustering Of Nonnegative Data And An Application To Matrix Completion

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IEEE ICASSP 2020 Virtual Conference May 2020

In this paper, we propose a simple algorithm to cluster nonnegative data lying in disjoint subspaces. We analyze its performance in relation to a certain measure of correlation between said subspaces. We use our clustering algorithm to develop a matrix co

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Clustering Of Nonnegative Data And An Application To Matrix Completion

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In this paper, we propose a simple algorithm to cluster nonnegative data lying in disjoint subspaces. We analyze its performance in relation to a certain measure of correlation between said subspaces. We use our clustering algorithm to develop a matrix co