SAGMM: Clustering via Stochastic Approximation and Gaussian Mixture Models

Computes clustering by fitting Gaussian mixture models (GMM) via stochastic approximation following the methods of Nguyen and Jones (2018) <doi:10.1201/9780429446177>. It also provides some test data generation and plotting functionality to assist with this process.

Getting started

Package details

AuthorAndrew T. Jones, Hien D. Nguyen
MaintainerAndrew T. Jones <>
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:

Try the SAGMM package in your browser

Any scripts or data that you put into this service are public.

SAGMM documentation built on June 29, 2019, 9:02 a.m.