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Title:

Mutual Information-Based Clustering: Hard or Soft?

Document type:
Konferenzbeitrag
Contribution type:
Textbeitrag / Aufsatz
Author(s):
Geiger, B. C.; Amjad, R. A.
Pages contribution:
1-6
Abstract:
In this paper, we investigate mutual information as a cost function for clustering, and show in which cases hard, i.e., deterministic, clusters are optimal. Using convexity properties of mutual information, we show that certain formulations of the information bottleneck problem are solved by hard clusters. Similarly, hard clusters are optimal for the information-theoretic co-clustering problem that deals with simultaneous clustering of two dependent data sets. If both data sets have to be...     »
Book / Congress title:
Proc. of 11th ITG Conf. on Systems, Communication and Coding (SCC)
Date of congress:
6.-9.2.2017
Publisher:
VDE
Year:
2017
Quarter:
1. Quartal
Year / month:
2017-02
Month:
Feb
Pages:
6
Bookseries title:
ITG-Fachbericht
Bookseries volume:
268
Reviewed:
ja
Language:
en
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