Relational co-clustering via manifold ensemble learning
CIKM, pp. 1687-1691, 2012.
Co-clustering targets on grouping the samples and features simultaneously. It takes advantage of the duality between the samples and features. In many real-world applications, the data points or features usually reside on a submanifold of the ambient Euclidean space, but it is nontrivial to estimate the intrinsic manifolds in a principled...More
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