Regularized Co-Clustering with Dual Supervision

NeurIPS 2008 Vikas SindhwaniJianying HuAleksandra Mojsilovic

By attempting to simultaneously partition both the rows (examples) and columns (features) of a data matrix, Co-clustering algorithms often demonstrate surpris- ingly impressive performance improvements over traditional one-sided (row) clustering techniques. A good clustering of features may be seen as a combinatorial transformation of the data matrix, effectively enforcing a form of regularization that may lead to a better clustering of examples (and vice-versa)... (read more)

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