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SAGMM (version 0.2.4)

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

123

Version

0.2.4

License

GPL-3

Maintainer

Andrew Jones

Last Published

June 29th, 2019

Functions in SAGMM (0.2.4)

SAGMMFit

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

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

Return Gamma, a sequence of gain factors
generateSimData

Generate data for simulations to test the SAGMM package..