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arXiv.org e-Print Archive
Preprint . 2017
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Generalized Entropy Agglomeration

descriptionPublicationkeyboard_double_arrow_right Preprint 08 Aug 2017
Authors: Fidaner, Işık Barış;

arXiv: 1708.02693

Generalized Entropy Agglomeration

Abstract

Entropy Agglomeration (EA) is a hierarchical clustering algorithm introduced in 2013. Here, we generalize it to define Generalized Entropy Agglomeration (GEA) that can work with multiset blocks and blocks with rational occurrence numbers. We also introduce a numerical categorization procedure to apply GEA to numerical datasets. The software REBUS 2.0 is published with these capabilities: http://fidaner.wordpress.com/science/rebus2

Keywords

Computer Science - Information Theory

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green