| 改进的基于遗传算法与FCSS相结合的模糊球壳聚类算法 |
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| 引用本文： | 吕一,杨明.改进的基于遗传算法与FCSS相结合的模糊球壳聚类算法[J].商丘师范学院学报,2012,28(9):1-5. |
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| 作者姓名： | 吕一 杨明 |
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| 作者单位： | 中北大学理学院,山西太原,030051 |
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| 基金项目： | 国家自然科学基金资助项目(61071193);山西省自然科学基金资助项目(2010011002-1) |
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| 摘 要： | 遗传算法（GA）被广泛地应用在聚类算法中.但是当数据点多时,其计算量大的问题是不容忽视的.针对与遗传算法相结合的FCSS算法中的这一不足,主要通过研究了GA初始化种群的选取方法,对GA-FCSS算法进行了改进.实验数据表明：改进的GA-FCSS算法在收敛速度方面有令人满意的效果.
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| 关 键 词： | 模糊球壳聚类 遗传算法 初始种群 |
Improved fuzzy C-spherical shell cluster algorithm based on genetic algorithm and FCSS |
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| Lü Yi,YANG Ming.Improved fuzzy C-spherical shell cluster algorithm based on genetic algorithm and FCSS[J].Journal of Shangqiu Teachers College,2012,28(9):1-5. |
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| Authors: | Lü Yi YANG Ming |
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| Institution: | (Department of Mathematics North University of China,Taiyuan 030051,China) |
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| Abstract: | The genetic algorithm(GA) is wildly applied into the clustering algorithm,but when the data points is excessive,the algorithm calculation amount takes too long.According to the shortage of the algorithm integrated with the FCSS algorithm and the genetic algorithm,the main research is propose a new method to improved the select initial population in GA-FCSS.The experiment show result that the new method of select initial population has better effects in the speed of converges. |
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| Keywords: | fuzzy C-spherical shell cluster(FCSS) genetic algorithm(GA) initial population |
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