SAGMM {SAGMM}

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

Description

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.

Author(s)

Andrew T. Jones and Hien D. Nguyen

References

Nguyen & Jones (2018). Big Data-Appropriate Clustering via Stochastic Approximation and Gaussian Mixture Models. In Data Analytics (pp. 79-96). CRC Press.