clusEvol: An R package for Cluster Evolution Analytics

The paper proposes a new R package, named clusEvol , that introduces Cluster Evolution Analytics (CEA), a framework for advanced Exploratory Data Analysis and Unsupervised Learning. CEA studies the evolution of an object and its neighbors, identified via clustering algorithms, over time. It combines leave-one-out and plug-in principles, enabling “what if” scenarios by integrating current data into past datasets to explore temporal changes. The framework is demonstrated with a real dataset employing various clustering algorithms.

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Publication Details

Journal
SoftwareX
Published
2024-10-17
DOI
https://doi.org/10.1016/j.softx.2024.101921
Primary Topic
Advanced Clustering Algorithms Research
Type
article
Field-Weighted Citation Impact
0.35
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article

clusEvol: An R package for Cluster Evolution Analytics

Bolívar Morales-Oñate, Víctor Morales‐Oñate
SoftwareX
Advanced Clustering Algorithms Research
0.35
article

clusEvol: An R package for Cluster Evolution Analytics

Bolívar Morales-Oñate, Víctor Morales‐Oñate
article en

Abstract

The paper proposes a new R package, named clusEvol , that introduces Cluster Evolution Analytics (CEA), a framework for advanced Exploratory Data Analysis and Unsupervised Learning. CEA studies the evolution of an object and its neighbors, identified via clustering algorithms, over time. It combines leave-one-out and plug-in principles, enabling “what if” scenarios by integrating current data into past datasets to explore temporal changes. The framework is demonstrated with a real dataset employing various clustering algorithms.

SoftwareXVol. 28
Universidad de Las Américas (EC), Escuela Superior Politécnica del Chimborazo (EC)
Openalex Percentile: Top 33%
Advanced Clustering Algorithms Research
0.35
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