基于蚁群算法的动态模糊聚类分析
首发时间:2005-05-12
摘要:本文提出了一种基于蚁群算法的动态模糊聚类方法。算法将蚁群算法与模糊C均值聚类有机的结合,实现了基于改进的目标函数聚类分析。对比实验表明,该算法对初值不敏感,可以寻求到全局最优聚类。
关键词: 数据挖掘 蚁群算法 模糊C-均值聚类
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Dynamic Fuzzy Clustering Analysis Based on Ant Colony Algorithm
Abstract:This paper proposes a method of dynamic fuzzy clustering analysis based on ant colony algorithm. The algorithm combines ant colony algorithm with fuzzy C-means clustering organically and realizes clustering analysis based on improved function. Compared experiments show that this algorithm is not sensitive to initial value and it can find the global optimal clustering.
Keywords: date mining ant colony algorithm fuzzy C-means clustering
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No.2023187691115860****
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