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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
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Package details |
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| Author | Andrew T. Jones, Hien D. Nguyen |
| Maintainer | Andrew T. Jones <andrewthomasjones@gmail.com> |
| License | GPL-3 |
| Version | 0.2.4 |
| Package repository | View on CRAN |
| Installation |
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