Performs cluster analysis using an ensemble clustering framework. 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||Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]|
|Date of publication||2018-06-11 09:29:37 UTC|
|Maintainer||Derek Chiu <[email protected]>|
|License||MIT + file LICENSE|
|Package repository||View on CRAN|
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