| 基于SVM的分类算法与聚类分析 |
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| 引用本文： | 徐义田,王来生,张好治,孙宝山.基于SVM的分类算法与聚类分析[J].烟台大学学报(自然科学与工程版),2004,17(1):9-13. |
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| 作者姓名： | 徐义田 王来生 张好治 孙宝山 |
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| 作者单位： | 1. 中国农业大学,理学院,北京,100083
2. 莱阳农学院,理学院,山东,莱阳,265200 |
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| 摘 要： | 运用结构风险最小化原理和聚类原理，将支持向量机中有监督的分类算法与统计中无监督的聚类算法有机地结合起来。对线性可分与线性不可分两种情况分别建立了无监督的分类模型，模型的求解转化为一个二次规划问题。同时此模型也适合于多分类情况，在应用到心脏病的医疗诊断中，准确率为88．5％，较以前的方法有了明显的提高。
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| 关 键 词： | SVM 分类算法 支持向量机 聚类算法 期望风险 结构风险 |
| 文章编号： | 1004-8820(2004)01-0009-05 |
Based Support Vector Machine Classification Algorithm And Clustering Algorithm |
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| XU Yi-tian,WANG Lai-sheng,ZHANG Hao-zhi,SUN Bao-shan.Based Support Vector Machine Classification Algorithm And Clustering Algorithm[J].Journal of Yantai University(Natural Science and Engineering edirion),2004,17(1):9-13. |
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| Authors: | XU Yi-tian WANG Lai-sheng ZHANG Hao-zhi SUN Bao-shan |
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| Institution: | XU Yi-tian~1,WANG Lai-sheng~1,ZHANG Hao-zhi~2,SUN Bao-shan~2 |
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| Abstract: | A kind of unsupervised classification algorithm based on combining support vector classification algorithm with statistical clustering algorithm by following structural risk minimization principle and clustering principle is proposed. The solution of the model is transformed into a quadratic programming problem. The model is fit for multi-classification problem too. It can be applied in medical inspection of heart diseases and the veracity is 88.5%, which is better than those of other methods. |
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| Keywords: | support vector machine classification algorithm clustering algorithm expectation risk structural risk minimization |
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