bearloga/dpmclust: Bayesian Nonparametric Clustering Using 'DP-means' Algorithm

Implements the k-means-like clustering 'DP-means' algorithm by Kulis and Jordan (2011) which enables Bayesian nonparametric clustering with the unknown number of clusters determined automatically by setting a threshold which controls when a new cluster should be created.

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.2.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("bearloga/dpmclust")
bearloga/dpmclust documentation built on Oct. 15, 2018, 5:32 a.m.