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.%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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