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)
| Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:3975 |
| Date | 20 September 2005 |
| Creators | Hornik, Kurt |
| Publisher | University of California, Los Angeles |
| Source Sets | Wirtschaftsuniversität Wien |
| Language | English |
| Detected Language | English |
| Type | Article, PeerReviewed |
| Format | application/pdf |
| Relation | http://www.jstatsoft.org/v14/i12, http://epub.wu.ac.at/3975/ |
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