maximisation_mv: maximisation_mv: Part of DCEM package.

Description Usage Arguments Value Author(s) References

View source: R/dcem_em_utils.R

Description

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

Usage

1
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.

Author(s)

Parichit Sharma parishar@iu.edu, Hasan Kurban, Mark Jenne, Mehmet Dalkilic

This work is partially supported by NCI Grant 1R01CA213466-01.

References

Using data to build a better EM: EM* for big data.

Hasan Kurban, Mark Jenne, Mehmet M. Dalkilic (2016) <https://doi.org/10.1007/s41060-017-0062-1>.


parichit/DCEM documentation built on Aug. 8, 2020, 1:17 a.m.