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.
Version: | 0.4.0 |
Depends: | R (≥ 3.1) |
Imports: | abind, apcluster, assertthat, blockcluster, caret, class, cli, clue, cluster, clusterCrit, clValid, dbscan, dplyr, e1071, flux, ggplot2, gplots, grDevices, Hmisc, infotheo, kernlab, klaR, kohonen, largeVis, magrittr, mclust, methods, NNLM, pheatmap, progress, purrr (≥ 0.2.3), quantable, RankAggreg, RColorBrewer, Rcpp, Rtsne, sigclust, stringr, tibble, tidyr |
LinkingTo: | Rcpp |
Suggests: | covr, knitr, pander, rmarkdown, testthat |
Published: | 2018-02-22 |
Author: | Derek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com] |
Maintainer: | Derek Chiu <dchiu at bccrc.ca> |
BugReports: | https://github.com/AlineTalhouk/diceR/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/AlineTalhouk/diceR, https://alinetalhouk.github.io/diceR |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | diceR results |
Reference manual: | diceR.pdf |
Vignettes: |
Cluster Analysis using 'diceR' |
Package source: | diceR_0.4.0.tar.gz |
Windows binaries: | r-devel: diceR_0.4.0.zip, r-release: diceR_0.3.2.zip, r-oldrel: diceR_0.3.2.zip |
OS X El Capitan binaries: | r-release: diceR_0.4.0.tgz |
OS X Mavericks binaries: | r-oldrel: diceR_0.3.1.tgz |
Old sources: | diceR archive |
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