diceR-package {diceR} | R Documentation |
diceR: Diverse Cluster Ensemble in R
Description
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.
Author(s)
Maintainer: Derek Chiu dchiu@bccrc.ca
Authors:
Aline Talhouk a.talhouk@ubc.ca
Other contributors:
Johnson Liu gliu@bccrc.ca [contributor, compiler]
See Also
Useful links:
Report bugs at https://github.com/AlineTalhouk/diceR/issues
[Package diceR version 3.1.0 Index]