计算机工程与应用 ›› 2009, Vol. 45 ›› Issue (27): 130-132.DOI: 10.3778/j.issn.1002-8331.2009.27.039
• 数据库、信号与信息处理 • 上一篇 下一篇
刘琼荪，杜会锋
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通讯作者:
LIU Qiong-sun，DU Hui-feng
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摘要： 构造了基于马氏距离和Cupula函数的距离映射和条件概率映射，将高维空间中的样本转化为二维空间中的新样本，并对新样本进行简易处理，构建了可分支持向量分类机，其特点是简单，易于实现。实验表明取得了较好的分类效果。
关键词: 映射, 二维空间, 可分支持向量机
Abstract: A distance map and conditional probability map based on mahalanobis distance and copula function are constructed，the samples in high-dimensional space are transformed into new samples in two-dimensional space.A divided Support Vector Machine Classifier can be constructed by easily processing the new samples.It is simple and easy to implement.Experiments show that it has made better classification results.
Key words: map, two-dimensional, space, divided support vector machine classifier
中图分类号:
TP181
刘琼荪，杜会锋. 基于构造映射的支持向量分类机[J]. 计算机工程与应用, 2009, 45(27): 130-132.
LIU Qiong-sun，DU Hui-feng. Support vector machine classifier based on construction map[J]. Computer Engineering and Applications, 2009, 45(27): 130-132.
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http://cea.ceaj.org/CN/Y2009/V45/I27/130
