The SAGMM package allows for computation of gaussian mixture models using stochastic approximation to increase efficiency with large data sets.
The primary function
SAGMMFit allows this to be performed in a relative flexible manner.
Andrew T. Jones and Hien D. Nguyen
Nguyen & Jones (2018). Big Data-Appropriate Clustering via Stochastic Approximation and Gaussian Mixture Models. In Data Analytics (pp. 79-96). CRC Press.
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