diceR: Diverse Cluster Ensemble in R
Version 0.2.0

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.

Package details

AuthorDerek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]
Date of publication2017-09-29 23:06:09 UTC
MaintainerDerek Chiu <[email protected]>
LicenseMIT + file LICENSE
Version0.2.0
URL https://github.com/AlineTalhouk/diceR https://alinetalhouk.github.io/diceR
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("diceR")

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diceR documentation built on Sept. 30, 2017, 1:04 a.m.