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ensembles_pca_svm_new10v

于 2011-05-26 发布 文件大小:2KB
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  pca做特征降维,然后进行特征空间随机分割构造多个svm分类器,并行处理,对样本进行分类,基于特征空间的svm多分类器(using pca reduce feature dimension,split feature space and then randomly divided over svm classifier construction, parallel processing, the samples were classified, based on multi-feature space classification svm )

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