| 基于Boltzmann选择的人工蜂群KFCM算法 |
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| 引用本文： | 赵小强,张守明.基于Boltzmann选择的人工蜂群KFCM算法[J].兰州理工大学学报,2011,37(1):71-75. |
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| 作者姓名： | 赵小强 张守明 |
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| 作者单位： | 兰州理工大学,电气工程与信息工程学院,甘肃,兰州,730050;甘肃省工业过程先进控制重点实验室,甘肃,兰州,730050 |
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| 基金项目： | 甘肃省支撑计划项目(090GKCA034); 甘肃省自然科学基金(0916RJZA017); 甘肃省工业过程先进控制重点实验室基金(XJK0907) |
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| 摘 要： | 为提高算法的搜索效率、减少搜索过程中陷入局部最优的现象,将人工蜂群算法用于核模糊C-均值聚类,但在聚类数比较大和维度较高时效果不太好,为此引入Boltzmann选择机制代替轮盘赌的选择方式,并采用小区间生成法使初始群体均匀化,使得该算法的全局寻优能力更强,有效克服了KFCM算法易陷入局部最优的缺点.实验结果表明,对于聚...
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| 关 键 词： | 数据挖掘 核模糊C-均值聚类 人工蜂群算法 Boltzmann选择机制 |
Boltzmann selection-based KFCM algorithm incorporated with artificial bee colony algorithm |
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| ZHAO Xiao-qiang,ZHANG Shou-ming.Boltzmann selection-based KFCM algorithm incorporated with artificial bee colony algorithm[J].Journal of Lanzhou University of Technology,2011,37(1):71-75. |
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| Authors: | ZHAO Xiao-qiang ZHANG Shou-ming |
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| Institution: | ZHAO Xiao-qiang1,2,ZHANG Shou-ming1,2(1.College of Electrical and Information Engineering,Lanzhou Univ.of Tech.,Lanzhou 730050,China,2.Key Laboratory of Gansu Advanced Control for Industrial Processes,China) |
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| Abstract: | Artificial bee colony(ABC) algorithm was applied to kernel fuzzy C-means(KFCM) clustering to improve searching efficiency of the algorithm and decrease the phenomenon of falling into local optimum in searching process.But its effect was not so satisfactory for the data samples with larger cluster numbers and higher dimensions.So,Boltzmann selection mechanism was introduced into ABC instead of roulette selection mode.Mini-intervals were also used to make the initial group more uniformized and the capacity of... |
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| Keywords: | data mining kernel fuzzy C-mean clustering artificial bee colony algorithm Boltzmann selection mechanism |
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