validate_data

(string): A comma separated
list of columns that needs to be removed from the dataset. Default: ''

columns

(numeric): Number of columns in the dataset.

numcols

Implements sanity check for the input data. This function is for internal use and is called
by the <code><a rd-options="" href="/link/dcem_train?package=DCEM&version=2.0.5" data-mini-rdoc="DCEM::dcem_train">dcem_train</a></code>.

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>.

Sharma Parichit

DCEM

Clustering Big Data using Expectation Maximization Star (EM*)
Algorithm

Kurban Hasan

Dalkilic Mehmet

validate_data function

Implements sanity check for the input data. This function is for internal use and is called
by the <code><a rd-options='' href='dcem_train'>dcem_train</a></code>.

validate_data: validate_data: Part of DCEM package. Used internally in the package.

Description

Usage

Arguments

Value

Details