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Titel:

Mutual Information-Based Clustering: Hard or Soft?

Dokumenttyp:
Konferenzbeitrag
Art des Konferenzbeitrags:
Textbeitrag / Aufsatz
Autor(en):
Geiger, B. C.; Amjad, R. A.
Seitenangaben Beitrag:
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...     »
Kongress- / Buchtitel:
Proc. of 11th ITG Conf. on Systems, Communication and Coding (SCC)
Datum der Konferenz:
6.-9.2.2017
Verlag / Institution:
VDE
Jahr:
2017
Quartal:
1. Quartal
Jahr / Monat:
2017-02
Monat:
Feb
Seiten:
6
Serientitel:
ITG-Fachbericht
Serienbandnummer:
268
Reviewed:
ja
Sprache:
en
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