A CLUE for CLUster Ensembles

Hornik, Kurt ORCID: https://orcid.org/0000-0003-4198-9911 (2005) A CLUE for CLUster Ensembles. Journal of Statistical Software, 14 (12). pp. 1-25. ISSN 1548-7660

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Abstract

Cluster ensembles are collections of individual solutions to a given clustering problem which are useful or necessary to consider in a wide range of applications. The R package clue provides an extensible computational environment for creating and analyzing cluster ensembles, with basic data structures for representing partitions and hierarchies, and facilities for computing on these, including methods for measuring proximity and obtaining consensus and "secondary" clusterings. (author's abstract)

Item Type:	Article
Keywords:	cluster ensembles / partitions / hierarchies / cluster proximities / consensus clusterings / secondary clusterings
Divisions:	Departments > Finance, Accounting and Statistics > Statistics and Mathematics > Hornik
Version of the Document:	Published
Variance from Published Version:	None
Depositing User:	ePub Administrator
Date Deposited:	26 Sep 2013 12:03
Last Modified:	24 Oct 2019 13:41
FIDES Link:	https://bach.wu.ac.at/d/research/results/29827/
URI:	https://epub.wu.ac.at/id/eprint/3975

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• A CLUE for CLUster ensembles. (deposited 13 May 2005 15:47)
  • A CLUE for CLUster Ensembles. (deposited 26 Sep 2013 12:03) [Currently Displayed]

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