Relational co-clustering via manifold ensemble learning

CIKM, pp. 1687-1691, 2012.

Cited by: 15|Bibtex|Views10|DOI:https://doi.org/10.1145/2396761.2398498
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Other Links: dl.acm.org|dblp.uni-trier.de|academic.microsoft.com

Abstract:

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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