maximisation_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 total number of observations in the data.

num_data

Calculates meu, sigma and prior based on the updated probability weight matrix.

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 avoids revisiting data by leveraging the heap structure.
The implementation supports both random and K-means++ based initialization. Reference: Hasan Kurban, Mark Jenne,
Mehmet M. Dalkilic (2016) <doi:10.1007/s41060-017-0062-1>. This work is partially supported by
NCI Grant 1R01CA213466-01.

maximisation_uv: maximisation_uv: Part of DCEM package.

Description

Usage

Arguments

Value

References