Co-Clustering via Information-Theoretic Markov Aggregation

2 Jan 2018Clemens BloechlRana Ali AmjadBernhard C. Geiger

We present an information-theoretic cost function for co-clustering, i.e., for simultaneous clustering of two sets based on similarities between their elements. By constructing a simple random walk on the corresponding bipartite graph, our cost function is derived from a recently proposed generalized framework for information-theoretic Markov chain aggregation... (read more)

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