A CLUE for CLUster Ensembles 论文

2005Journal of Statistical Software引用 266顶会
DOIPDF
Advanced Clustering Algorithms ResearchData Mining Algorithms and ApplicationsData Management and Algorithms
Advanced Clustering Algorithms ResearchData Management and AlgorithmsData Mining Algorithms and Applications
相关技术:Data Management and AlgorithmsAdvanced Clustering Algorithms ResearchData Mining Algorithms and Applications
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摘要

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

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Kurt Hornik

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Data Management and AlgorithmsAdvanced Clustering Algorithms ResearchData Mining Algorithms and Applications

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