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- W2062804910 abstract "We propose binary classification methods by modifying logistic regression classification. We use variable selection procedures instead of original variables to select the principal components. We describe the resulting classifiers and discuss their properties. The performance of our proposals are illustrated numerically and compared with other existing classification methods using synthetic and real datasets." @default.
- W2062804910 created "2016-06-24" @default.
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- W2062804910 date "2014-01-31" @default.
- W2062804910 modified "2023-09-22" @default.
- W2062804910 title "Logistic Regression Classification by Principal Component Selection" @default.
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- W2062804910 doi "https://doi.org/10.5351/csam.2014.21.1.061" @default.
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