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The Tangent Classifier.
- Source :
- American Statistician; Aug2012, Vol. 66 Issue 3, p185-194, 10p
- Publication Year :
- 2012
-
Abstract
- Given a classifier, we describe a general method to construct a simple linear classification rule. This rule, called the tangent classifier, is obtained by computing the tangent hyperplane to the separation boundary of the groups (generated by the initial classifier) at a certain point. When applied to a quadratic region, the tangent classifier has a neat closed-form expression. We discuss various examples and the application of this new linear classifier in two situations under which standard rules may fail: when there is a fraction of outliers in the training sample and when the dimension of the data is large in comparison with the sample size. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 00031305
- Volume :
- 66
- Issue :
- 3
- Database :
- Complementary Index
- Journal :
- American Statistician
- Publication Type :
- Academic Journal
- Accession number :
- 82505332
- Full Text :
- https://doi.org/10.1080/00031305.2012.710511