clusEvol: An R package for Cluster Evolution Analytics

IF 2.4 4区计算机科学 Q2 COMPUTER SCIENCE, SOFTWARE ENGINEERING

SoftwareX Pub Date : 2024-10-17 DOI:10.1016/j.softx.2024.101921

Víctor Morales-Oñate , Bolívar Morales-Oñate

引用次数: 0

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.

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clusEvol：用于集群演化分析的 R 软件包

本文提出了一个新的 R 软件包，名为 clusEvol，其中介绍了聚类演化分析（CEA），这是一个用于高级探索性数据分析和无监督学习的框架。CEA 研究对象及其邻域（通过聚类算法识别）随时间的演变。它结合了 "遗漏 "和 "插入 "原则，通过将当前数据整合到过去的数据集来探索时间变化，从而实现 "假设 "场景。该框架通过采用各种聚类算法的真实数据集进行了演示。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

SoftwareX COMPUTER SCIENCE, SOFTWARE ENGINEERING-

CiteScore

5.50

自引率

2.90%

发文量

184

审稿时长

9 weeks

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