Work

clusEvol: An R package for Cluster Evolution Analytics

Year: 2024

Type: software-paper

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.

Source: SoftwareX

DOI: 10.1016/j.softx.2024.101921

Authors: Víctor Morales-Oñate, Bolívar Morales-Oñate

Institutions: Universidad de Las Américas, Escuela Superior Politécnica del Chimborazo

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $970

OpenAlex ID: W4403507683

Cites: 32

Cited by:

Related to: 10