expectation_uv

data

(matrix): The probability weight matrix.

weights

(vector): The vector of sigma (standard-deviations).

sigma

prior

(numeric): The number of clusters.

num_clusters

(numeric): The system epsilon value.

tolerance

Calculates the probabilistic weights for the univariate data.

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>.

expectation_uv: expectation_uv: Part of DCEM package.

Description

Usage

Arguments

Value