Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) <doi:10.1186/s12859-017-1996-y>. 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: | 3.1.0 |
| Depends: | R (≥ 4.1) |
| Imports: | abind,assertthat,class,clue,clusterCrit,clValid,dplyr (≥ 0.7.5),ggplot2, grDevices,infotheo,klaR,magrittr,mclust, methods,pheatmap,purrr (≥ 0.2.3),RankAggreg,Rcpp,stringr,tidyr,yardstick |
| LinkingTo: | Rcpp |
| Suggests: | apcluster,blockcluster,cluster,covr,dbscan,e1071,kernlab,knitr,kohonen,NMF,pander,poLCA,progress,RColorBrewer,rlang,rmarkdown,Rtsne,sigclust,testthat (≥3.0.0) |
| Published: | 2025-06-19 |
| DOI: | 10.32614/CRAN.package.diceR |
| 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 + fileLICENSE |
| URL: | https://github.com/AlineTalhouk/diceR/,https://alinetalhouk.github.io/diceR/ |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | diceR results |