| 基于几何算法的支持向量机分类方法 |
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| 引用本文： | 张瑞环. 基于几何算法的支持向量机分类方法[J]. 重庆工商大学学报(自然科学版), 2011, 28(5): 453-457 |
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| 作者姓名： | 张瑞环 |
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| 作者单位： | 重庆大学数学与统计学院,重庆,400044 |
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| 摘 要： | 支持向量机是基于统计学习理论的一种学习方法,提出了基于压缩超球体的SVM分类问题的一种几何方法,具有直观、简单和易于实现的特点;通过实例验证,说明此方法的可行性和有效性,具有一定的推广价值。
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| 关 键 词： | 支持向量机 几何算法 压缩凸包 压缩超球体 |
Support Vector Machine Classification Method Based on Geometry Algorithm |
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| ZHANG Rui-huan. Support Vector Machine Classification Method Based on Geometry Algorithm[J]. Journal of Chongqing Technology and Business University:Natural Science Edition, 2011, 28(5): 453-457 |
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| Authors: | ZHANG Rui-huan |
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| Abstract: | Support vector machine is a kind of learning method based on statistical learning.A kind of geometry algorithm based on SVM classification method of compressed hyper sphere is pointed out and this algorithm has the characteristics of directviewing,simplicity and easy implementation.Tested by examples,this algorithm is feasible and effective and has certain popularization ability. |
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| Keywords: | support vector machine geometry algorithm reduced convex hull compressed hyper sphere |
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