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.
Maintainer: Derek Chiu dchiu@bccrc.ca
Authors:
Aline Talhouk atalhouk@bccrc.ca
Other contributors:
Johnson Liu gliu@bccrc.ca [contributor, compiler]
Useful links:
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.