diceR: Diverse Cluster Ensemble in R

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.

Package details

AuthorDerek Chiu [aut, cre], Aline Talhouk [aut], Johnson Liu [ctb, com]
MaintainerDerek Chiu <dchiu@bccrc.ca>
LicenseMIT + file LICENSE
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:

Try the diceR package in your browser

Any scripts or data that you put into this service are public.

diceR documentation built on May 29, 2024, 8:54 a.m.