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CRAN: Package SAGMM

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.

Version: 0.2.4 Imports: Rcpp (≥ 0.12.13), MixSim, mclust, stats, lowmemtkmeans LinkingTo: Rcpp, RcppArmadillo Suggests: testthat, ggplot2 Published: 2019-06-29 DOI: 10.32614/CRAN.package.SAGMM Author: Andrew T. Jones, Hien D. Nguyen Maintainer: Andrew T. Jones <andrewthomasjones at gmail.com> License: GPL-3 NeedsCompilation: yes Materials: NEWS CRAN checks: SAGMM results Documentation: Reference manual: SAGMM.pdf Downloads: Package source: SAGMM_0.2.4.tar.gz Windows binaries: r-devel: SAGMM_0.2.4.zip, r-release: SAGMM_0.2.4.zip, r-oldrel: SAGMM_0.2.4.zip macOS binaries: r-release (arm64): SAGMM_0.2.4.tgz, r-oldrel (arm64): SAGMM_0.2.4.tgz, r-release (x86_64): SAGMM_0.2.4.tgz, r-oldrel (x86_64): SAGMM_0.2.4.tgz Old sources: SAGMM archive Linking:

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