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Classification Using Sliced Inverse Regression and Sliced Average Variance Estimation
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 Title & Authors
Classification Using Sliced Inverse Regression and Sliced Average Variance Estimation
Lee, Hakbae;
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 Abstract
We explore classification analysis using graphical methods such as sliced inverse regression and sliced average variance estimation based on dimension reduction. Some useful information about classification analysis are obtained by sliced inverse regression and sliced average variance estimation through dimension reduction. Two examples are illustrated, and classification rates by sliced inverse regression and sliced average variance estimation are compared with those by discriminant analysis and logistic regression.
 Keywords
Dimension reduction;Central subspace;Sliced Inverse Regression;Sliced Average Variance Estimation;
 Language
Korean
 Cited by
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