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Editors-in-chief: Bettina GrĂ¼n, Edzer Pebesma & Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
A CLUE for CLUster Ensembles | Hornik | Journal of Statistical Software
Authors: Kurt Hornik
Title: A CLUE for CLUster Ensembles
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.

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Paper: A CLUE for CLUster Ensembles     Download PDF (Downloads: 6621)
DOI: 10.18637/jss.v014.i12

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