Spectral Clustering via sparse graph structure learning with application to Proteomic Signaling Networks in Cancer
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Clustering methods for multivariate data exploiting the underlying geometry of the graphical structure between variables are presented. As opposed to standard approaches for graph clustering that assume known graph structures, the edge structure of the unknown... ...
