A CLUE for CLUster ensembles

Kurt Hornik

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

A CLUE for CLUster ensembles

Kurt Hornik

Statistics and Mathematics

Publikation: Working/Discussion Paper › WU Working Paper

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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.

Originalsprache	Englisch
Erscheinungsort	Vienna
Herausgeber	Institut für Statistik und Mathematik, WU Vienna University of Economics and Business
DOIs	https://doi.org/10.57938/935e33f7-7635-4def-a69b-07d372bf2426
Publikationsstatus	Veröffentlicht - 2005

Publikationsreihe

Reihe	Research Report Series / Department of Statistics and Mathematics
Nummer	17

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WU Working Paper Reihe

Research Report Series / Department of Statistics and Mathematics

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10.57938/935e33f7-7635-4def-a69b-07d372bf2426Lizenz: Nicht angegeben

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1 Originalbeitrag in Fachzeitschrift

A CLUE for CLUster Ensembles
Hornik, K., 2005, in: Journal of Statistical Software. 14, 12, S. 1 - 25
Publikation: Wissenschaftliche Fachzeitschrift › Originalbeitrag in Fachzeitschrift › Begutachtung

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Zitat

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A CLUE for CLUster ensembles

Abstract

Publikationsreihe

Bibliographische Notiz

WU Working Paper Reihe

Zugriff auf Dokument

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Andere Versionen dieses Inhalts

A CLUE for CLUster Ensembles

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