gka_twcv

Total Within Cluster Variation (TWCV) computation

A comprehensive educational package combining clustering algorithms with
detailed step-by-step explanations. Provides implementations of both traditional
(hierarchical, k-means) and modern (Density-Based Spatial Clustering of Applications with Noise (DBSCAN),
Gaussian Mixture Models (GMM), genetic k-means) clustering methods
as described in Ezugwu et. al., (2022) <doi:10.1016/j.engappai.2022.104743>.
Includes educational datasets highlighting different clustering challenges, based on
'scikit-learn' examples (Pedregosa et al., 2011)
<https://jmlr.csail.mit.edu/papers/v12/pedregosa11a.html>. Features detailed
algorithm explanations, visualizations, and weighted distance calculations for
enhanced learning.

Andriy Protsak Protsak

UAHDataScienceUC

Learn Clustering Techniques Through Examples and Code

Eduardo Ruiz Sabajanes

Roberto Alcantara

Juan Jose Cuadrado Gallego

Universidad de Alcala 

gka_twcv function

<dl><dt>data</dt>
<dd>a set of observations, presented as a matrix-like object where
every row is a new observation. The matrix is of size <code>n</code> by <code>m</code>.</dd>
<dt>k</dt>
<dd>the number of clusters.</dd>
<dt>population</dt>
<dd>a matrix of size <code>p</code> by <code>n</code> with the cluster
assignments for each observation.</dd>
<dt>centers</dt>
<dd>a 3D array of size <code>p</code> by <code>k</code> by <code>m</code> with the
cluster centers for each individual in the population.</dd></dl>

Arguments

Eduardo Ruiz Sabajanes, <a href="/link/eduardo.ruizs%40edu.uah.es?package=UAHDataScienceUC&version=1.0.1" data-mini-rdoc="UAHDataScienceUC::eduardo.ruizs@edu.uah.es">eduardo.ruizs@edu.uah.es</a>

Author

Total Within Cluster Variation (TWCV) computation — gka_twcv

<dl>

<dt>data</dt>
<dd>a set of observations, presented as a matrix-like object where
every row is a new observation. The matrix is of size <code>n</code> by <code>m</code>.</dd>


<dt>k</dt>
<dd>the number of clusters.</dd>


<dt>population</dt>
<dd>a matrix of size <code>p</code> by <code>n</code> with the cluster
assignments for each observation.</dd>


<dt>centers</dt>
<dd>a 3D array of size <code>p</code> by <code>k</code> by <code>m</code> with the
cluster centers for each individual in the population.</dd>

</dl>

Eduardo Ruiz Sabajanes, <a href='mailto:eduardo.ruizs@edu.uah.es'>eduardo.ruizs@edu.uah.es</a>

gka_twcv: Total Within Cluster Variation (TWCV) computation

Description

Usage

Value

Arguments

Author