sigma_mv

(numeric): Number of covariance matrices.

num_sigma

(numeric): The number of columns in the dataset.

numcol

Initializes the co-variance matrices as the identity matrices.

Implements the Improved Expectation Maximisation EM* and the traditional EM algorithm for clustering
big data (gaussian mixture models for both multivariate and univariate datasets). This version
implements the faster alternative-EM* that expedites convergence via structure based data segregation.
The implementation supports both random and K-means++ based initialization. Reference: Parichit Sharma,
Hasan Kurban, Mehmet Dalkilic (2022) <doi:10.1016/j.softx.2021.100944>. Hasan Kurban,
Mark Jenne, Mehmet Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>.

Sharma Parichit

sigma_mv: sigma_mv: Part of DCEM package.

Description

Usage

Arguments

Value