| 基于二次规划的无监督支持向量机 |
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| 引用本文： | 孔波,王红蔚.基于二次规划的无监督支持向量机[J].郑州大学学报(自然科学版),2014(3):45-48. |
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| 作者姓名： | 孔波 王红蔚 |
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| 作者单位： | 河南教育学院数学与统计学院,河南郑州450046 |
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| 基金项目： | 基金项目：河南省基础与前沿技术研究项目,编号122300410229;河南省教育厅自然科学基金资助项目,编号128110005. |
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| 摘 要： | 支持向量机在分类中的推广能力是非常显著的.通过构造目标函数和约束条件,借助二次规划模型提出了一种无监督支持向量机,它能在聚类的同时求出最优分类超平面并保证了支持向量机的推广能力.
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| 关 键 词： | 无监督支持向量机 二次规划 聚类 分类 |
Unsupervised Support Vector Machine Based on Quadratic Program Model |
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| KONG Bo,WANG Hong-wei.Unsupervised Support Vector Machine Based on Quadratic Program Model[J].Journal of Zhengzhou University (Natural Science),2014(3):45-48. |
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| Authors: | KONG Bo WANG Hong-wei |
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| Institution: | (School of Mathematics and Statistics, Henan Institute of Education, Zhengzhou 450046, China) |
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| Abstract: | Support vector machines （SVMs） performed well in pattern classification. A quadratic program model was presented by constructing a new objective function and constraints, so that SVMs could be used to cluster the unlabeled data, and to ensure the generalization ability of the support vector machine. |
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| Keywords: | unsupervised support vector machine quadratic programming clustering classifying |
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