maximisation_mv: maximisation_mv: Part of DCEM package.

In parichit/DCEM: Clustering Big Data using Expectation Maximization Star (EM*) Algorithm

Description

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

Usage

maximisation_mv(data, weights, meu, sigma, prior, num_clusters, num_data)

Arguments

data	(matrix): The input data.
weights	(matrix): The probability weight matrix.
meu	(matrix): The matrix of meu.
sigma	(list): The list of sigma (co-variance matrices).
prior	(vector): The vector of priors.
num_clusters	(numeric): The number of clusters.
num_data	(numeric): The total number of observations in the data.

Value

Updated values for meu, sigma and prior.

parichit/DCEM documentation built on Jan. 22, 2022, 6:13 p.m.