Customer realized feature ranking.
客户认识到的特性分级。
Since the data samples in machine learning and pattern recognition problems generally distribute in multi-modal distribution, this thesis proposed a prototype based feature ranking model.
由于模式识别、机器学习等问题的复杂性比较高,数据分布通常呈现多模态分布。
Then we sort these feature subsets according to the ranking performances.
然后根据排序精度排列这些特征子集。
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