Communications for Statistical Applications and Methods

The Korean Statistical Society (한국통계학회)
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Classification Using Sliced Inverse Regression and Sliced Average Variance Estimation

  • Lee, Hakbae (Department of Applied Statistics, Yonsei University)
  • Published : 2004.08.01
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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.

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References

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