A CLUE for CLUster ensembles

Kurt Hornik

doi:10.57938/935e33f7-7635-4def-a69b-07d372bf2426

A CLUE for CLUster ensembles

Kurt Hornik

Institute for Statistics and Mathematics

Publication: Working/Discussion Paper › WU Working Paper and Case

117 Downloads (Pure)

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.

Original language	English
Place of Publication	Vienna
Publisher	Institut für Statistik und Mathematik, WU Vienna University of Economics and Business
DOIs	https://doi.org/10.57938/935e33f7-7635-4def-a69b-07d372bf2426
Publication status	Published - 2005

Publication series

Series	Research Report Series / Department of Statistics and Mathematics
Number	17

Bibliographical note

Earlier version

WU Working Papes and Cases

Research Report Series / Department of Statistics and Mathematics

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10.57938/935e33f7-7635-4def-a69b-07d372bf2426Licence: Unspecified

DocumentFinal published version, 567 KBLicence: Unspecified

A CLUE for CLUster Ensembles
Hornik, K., 2005, In: Journal of Statistical Software. 14, 12, p. 1 - 25
Publication: Scientific journal › Journal article › peer-review

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Cite this

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A CLUE for CLUster ensembles

Abstract

Publication series

Bibliographical note

WU Working Papes and Cases

Access to Document

Other versions

A CLUE for CLUster Ensembles

Cite this