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.

See also

Useful links:

• https://github.com/AlineTalhouk/diceR/

• https://alinetalhouk.github.io/diceR/

• Report bugs at https://github.com/AlineTalhouk/diceR/issues

Author

Maintainer: Derek Chiu dchiu@bccrc.ca

Authors:

• Aline Talhouk a.talhouk@ubc.ca

Other contributors:

• Johnson Liu gliu@bccrc.ca [contributor, compiler]