Firefly forest: A swarm iteration-free swarm intelligence clustering algorithm

IF 5.2 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Shijie Zeng , Yuefei Wang , Yukun Wen , Xi Yu , Binxiong Li , Zixu Wang
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引用次数: 0

Abstract

The Firefly Forest algorithm is a novel bio-inspired clustering method designed to address key challenges in traditional clustering techniques, such as the need to set a fixed number of neighbors, predefine cluster numbers, and rely on computationally intensive swarm iterative processes. The algorithm begins by using an adaptive neighbor estimation, refined to filter outliers, to determine the brightness of each firefly. This brightness guides the formation of firefly trees, which are then merged into cohesive firefly forests, completing the clustering process. This approach allows the algorithm to dynamically capture both local and global patterns, eliminate the need for predefined cluster numbers, and operate with low computational complexity. Experiments involving 14 established clustering algorithms across 19 diverse datasets, using 8 evaluative metrics, demonstrate the Firefly Forest algorithm’s superior accuracy and robustness. These results highlight its potential as a powerful tool for real-world clustering applications. Our code is available at: https://github.com/firesaku/FireflyForest.
萤火虫森林无迭代群集智能聚类算法
萤火虫森林算法是一种新颖的生物启发聚类方法,旨在解决传统聚类技术面临的主要挑战,如需要设置固定的邻居数量、预先确定聚类数量,以及依赖计算密集型的蜂群迭代过程。该算法首先使用自适应邻居估计,并对其进行改进以过滤异常值,从而确定每个萤火虫的亮度。这种亮度会引导萤火虫树的形成,然后将其合并成有凝聚力的萤火虫森林,完成聚类过程。这种方法允许算法动态捕捉局部和全局模式,无需预定义的聚类数量,并且计算复杂度低。在 19 个不同的数据集上使用 14 种成熟的聚类算法,并使用 8 个评估指标进行实验,结果表明萤火虫森林算法具有卓越的准确性和鲁棒性。这些结果凸显了萤火虫森林算法作为现实世界聚类应用的强大工具的潜力。我们的代码可在以下网址获取:https://github.com/firesaku/FireflyForest。
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
CiteScore
10.50
自引率
8.70%
发文量
656
审稿时长
29 days
期刊介绍: In 2022 the Journal of King Saud University - Computer and Information Sciences will become an author paid open access journal. Authors who submit their manuscript after October 31st 2021 will be asked to pay an Article Processing Charge (APC) after acceptance of their paper to make their work immediately, permanently, and freely accessible to all. The Journal of King Saud University Computer and Information Sciences is a refereed, international journal that covers all aspects of both foundations of computer and its practical applications.
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