SAGMM: SAGMM: A package for Clustering via Stochastic Approximation...

Description Author(s) References


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.

SAGMM documentation built on June 29, 2019, 9:02 a.m.

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