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Author(s):
Theis, F. J.
Title:
Bayesian fuzzy clustering of colored graphs
Abstract:
With the increasing availability of interaction data stemming form fields as diverse as systems biology, telecommunication or social sciences, the task of mining and understanding the underlying graph structures becomes more and more important. Here we focus on data with different types of nodes; we subsume this meta information in the color of a node. An important first step is the unsupervised clustering of nodes into communities, which are of the same color and highly connected within but sp...     »
Editor:
Theis, F.; Cichocki, A.; Yeredor, A.; Zibulevsky, M.
Volume:
7191; Latent Variable Analysis and Signal Separation
Publisher:
Springer
Publisher address:
Heidelberg
Year:
2012
Pages:
528-535
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