AlineTalhouk/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.
Getting started
Browse package contents
Package details |
|
|---|---|
| Maintainer | |
| License | MIT + file LICENSE |
| Version | 2.2.0 |
| URL | https://github.com/AlineTalhouk/diceR/ https://alinetalhouk.github.io/diceR/ |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
|
