Fuzzy-Rough Feature Selection for Mammogram Classification-中国期刊网

摘要特征选择(FS)指选择给定的outcome.Unlike是很预兆的那些输入属性的过程另外的维数减小方法，在FS的reduction.The好处是双重的以后，特征选购者保存特征的原来的意思：它更加减少正式就职算法的跑的时间，并且增加在用模糊逻辑和模糊逻辑的乳房X线照片分类的FS过程基于的产生model.This纸分析的精确性Quickreduct算法被申请从特征的FS提取了使用在乳房X线照片region.The上构造的灰色的水平co-occurence矩阵(GLCM)预兆的精确性特征用NaiveBayes，Ripper，C4.5，和蚂蚁矿工algo被测试

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Fuzzy-Rough Feature Selection for Mammogram Classification

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Fuzzy-Rough Feature Selection for Mammogram Classification

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