diceR (0.6.0)

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Diverse Cluster Ensemble in R.


Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) . 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, cli, clue, cluster, clusterCrit, clValid, dbscan, dplyr, e1071, flux, ggplot2, gplots, Hmisc, infotheo, kernlab, klaR, kohonen, magrittr, mclust, NMF, poLCA, progress, purrr, quantable, RankAggreg, RColorBrewer, Rcpp, Rtsne, sigclust, stringr, tibble, tidyr, testthat, knitr, pander, rmarkdown, covr

Released 5 months ago.

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