A CLUE for CLUster Ensembles. 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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References in zbMATH (referenced in 3 articles )
Showing results 1 to 3 of 3.
- Shen, Jeremy J.; Zhang, Nancy R.: Change-point model on nonhomogeneous Poisson processes with application in copy number profiling by next-generation DNA sequencing (2012)
- Ayad, Hanan G.; Kamel, Mohamed S.: On voting-based consensus of cluster ensembles (2010)
- Murtagh, Fionn: The remarkable simplicity of very high dimensional data: application of model-based clustering (2009)