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- W2000305559 abstract "Data normalization is the first step of pattern recognition (PR). Feature selection is another part of work in PR. All of them are very important and challengeable. In this paper, some normalization methods and some feature selection methods are introduced first, then, discussed the relationship between feature selection and data normalization. Finally, an algorithm is described how to normalize supervised multi-class (phenotype) data that all the classes are the type of multi-sample by a statistical way. By the method, on the training phase of PR, useful features can be obtained with the same normalization algorithm. The method in this paper has practical significance." @default.
- W2000305559 created "2016-06-24" @default.
- W2000305559 creator A5025222082 @default.
- W2000305559 date "2010-10-01" @default.
- W2000305559 modified "2023-09-26" @default.
- W2000305559 title "A novel feature selection method based on data normalization" @default.
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- W2000305559 doi "https://doi.org/10.1109/iccasm.2010.5620722" @default.
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