本文介绍了一种被Neurocomputing接受的大规模支持向量机分类方法，该方法通过去除远离支持向量的簇状数据点来提高分类效率。因为接近超平面的数据点对最终结果影响较大。
Paper: Large-scale support vector machine classification with redundant data reduction was accepted by Neurocomputing.
The basic idea is to remove the clustered data points that lie far away from support vectors because the data close hyperplane greatly affect the final results.
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