update_weights

(matrix): A matrix of probabilistic weights for leaf data.

temp_weights

(matrix): A matrix of probabilistic weights for all data.

weights

index_list

(numeric): The number of clusters.

num_clusters

Update the probability values for specific data points that change between the heaps.

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>.

update_weights: update_weights: Part of DCEM package.

Description

Usage

Arguments

Value