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SAGMM (version 0.2.5)

Clustering via Stochastic Approximation and Gaussian Mixture Models

Description

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

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Version

Install

install.packages('SAGMM')

Monthly Downloads

176

Version

0.2.5

License

GPL-3

Maintainer

Andrew Jones

Last Published

September 20th, 2025

Functions in SAGMM (0.2.5)

SAGMMFit

Clustering via Stochastic Approximation and Gaussian Mixture Models (GMM)
generateSimData

Generate data for simulations to test the SAGMM package..
gainFactors

Return Gamma, a sequence of gain factors
SAGMM

SAGMM: A package for Clustering via Stochastic Approximation and Gaussian Mixture Models.