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diceR-package

diceR: Diverse Cluster Ensemble in R


Description

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Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>. Results from a diverse set of algorithms are pooled together using methods such as majority voting, K-Modes, LinkCluE, and CSPA. There are options to compare cluster assignments across algorithms using internal and external indices, visualizations such as heatmaps, and significance testing for the existence of clusters.

Author(s)

Maintainer: Derek Chiu dchiu@bccrc.ca

Authors:

Other contributors:

See Also

Useful links:


diceR

Diverse Cluster Ensemble in R

v1.0.3
MIT + file LICENSE
Authors
Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]
Initial release

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