| 基于模糊c-均值聚类的SVC迭代训练算法 |
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| 引用本文： | 陈自洁,夏成锋.基于模糊c-均值聚类的SVC迭代训练算法[J].仲恺农业技术学院学报,2011,24(1):39-43. |
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| 作者姓名： | 陈自洁 夏成锋 |
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| 作者单位： | 1. 广东药学院,医药商学院,广东,广州,510006
2. 仲恺农业工程学院,学报编辑部,广东,广州,510225 |
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| 摘 要： | 针对支撑向量机（Support vector machine,SVM）在大规模数据的问题,提出了一种基于模糊c-均值聚类样本选择策略的SVC（SVM for classification）迭代训练算法,从样本抽取、迭代训练两个方面进行了改进,并在多个较大规模UCI标准测试集上进行了试验.结果表明,所提出的迭代训练算法收敛快,在保证学习精度的同时使训练速度加倍、支撑向量减少一半.
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| 关 键 词： | 支撑向量机 大规模数据集 样本选择策略 迭代训练 |
A SVC iterative learning algorithm based on fuzzy c-means clustering |
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| CHEN Zi-jie,XIA Cheng-feng.A SVC iterative learning algorithm based on fuzzy c-means clustering[J].Journal of Zhongkai Agrotechnical College,2011,24(1):39-43. |
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| Authors: | CHEN Zi-jie XIA Cheng-feng |
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| Institution: | CHEN Zi-jie1,XIA Cheng-feng2(1.School of Medicine Business,Guangdong Pharmaceutical University,Guangzhou 510006,China,2.Editorial Department of Journal,Zhongkai University of Agriculture and Engineering,Guangzhou 510225,China) |
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| Abstract: | Focusing on an effective and efficient Support Vector Machine(SVM) classification training algorithm for large samples,a SVC(SVM for classification)iterative learning algorithm based on fuzzy c-means clustering of sample selection strategy was prompted,improved in sample selection iterative training.Experiments on several large-scale UCI data sets showed that,this algorithm could converge quickly with double training speed and cut down the number of support vectors by a half losing quite little accuracy. |
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| Keywords: | support vector machine large samples sample selection strategy iterative training |
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