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基于连续域混合蚁群优化的核模糊C-均值聚类算法研究*

, PP. 841-846

Keywords: 聚类分析,核模糊C-均值聚类,混合蚁群优化,连续概率密度函数

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Abstract:

为进一步提高核模糊C-均值聚类算法的聚类性能,提出基于连续域混合蚁群优化的核模糊C-均值聚类算法(KFCM-HACO),使用HACO对KFCM算法的内核函数参数值和聚类中心进行优化,克服传统算法弊端,使核模糊C-均值聚类算法的目标函数最小化,加快算法的收敛速度.该优化算法在UCI数据集上的仿真实验及结果比较表明,KFCM-HACO算法的聚类性能优于传统的聚类算法,提高了聚类的准确性.

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