gka_chromosome_fix

This method fixes chromosomes which do not have at least one
observation assigned to each cluster.

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_chromosome_fix function

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

Chromosome fixing method — gka_chromosome_fix

<dl>

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


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

</dl>

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

gka_chromosome_fix: Chromosome fixing method

Description

Usage

Value

Arguments

Author