diceR (0.2.0)

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Diverse Cluster Ensemble in R.

https://github.com/AlineTalhouk/diceR
https://alinetalhouk.github.io/diceR
http://cran.r-project.org/web/packages/diceR

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.

Maintainer: Derek Chiu
Author(s): Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]

License: MIT + file LICENSE

Uses: abind, apcluster, assertthat, blockcluster, caret, class, clue, cluster, clusterCrit, clValid, dbscan, dplyr, e1071, flux, ggplot2, gplots, Hmisc, infotheo, kernlab, klaR, kohonen, largeVis, magrittr, mclust, NMF, progress, purrr, quantable, RankAggreg, RColorBrewer, Rcpp, Rtsne, sigclust, tidyr, testthat, knitr, rmarkdown, covr

Released about 1 month ago.


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