gka_crossover

K-Means Operator (KMO) which replaces the crossover operator in
the Genetic K-Means algorithm (GKA).

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_crossover 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>centers</dt>
<dd>a matrix of size <code>k</code> by <code>m</code> with the cluster centers
for a specific 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

Crossover method i.e. K-Means Operator — gka_crossover

<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>centers</dt>
<dd>a matrix of size <code>k</code> by <code>m</code> with the cluster centers
for a specific individual in the population.</dd>

</dl>

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

gka_crossover: Crossover method i.e. K-Means Operator

Description

Usage

Value

Arguments

Author