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Document type:
Zeitschriftenaufsatz 
Author(s):
Blöchl, C; Amjad, R.A; Geiger, B.C. 
Title:
Co-Clustering via information- theoretic Markov aggregation 
Abstract:
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. The goal of our cost function is to minimize relevant information loss, hence it connects to the information bottleneck formalism. Moreo...    »
 
Journal title:
IEEE Trans. Knowledge and Data Engineering 
Year:
2018 
Year / month:
2018-06 
Month:
Jun 
Reviewed:
ja 
Language:
en 
Status:
Postprint / reviewed 
Date of publication:
14.06.2018