diceR-package: diceR: Diverse Cluster Ensemble in R

In diceR: Diverse Cluster Ensemble in R

diceR: Diverse Cluster Ensemble in R

Description

Performs cluster analysis using an ensemble clustering framework, Chiu & Talhouk (2018) \Sexpr[results=rd]{tools:::Rd_expr_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 [e-mail]

Authors:

• Aline Talhouk [e-mail]

Other contributors:

• Johnson Liu [e-mail] [contributor, compiler]

See Also

Useful links:

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

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

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

diceR documentation built on Sept. 29, 2023, 1:06 a.m.