Article ID Journal Published Year Pages File Type
1154613 Statistics & Probability Letters 2006 8 Pages PDF
Abstract

The linear regression method belongs to the important class of linear methods for multi-class classification. Empirical evidences suggest that a masking problem occurs with the linear regression approach and it is especially prevalent when the number of classes is large. This paper provides an analytical study of this issue and explicitly explains why the linear discriminant analysis procedure removes this problem.

Related Topics
Physical Sciences and Engineering Mathematics Statistics and Probability
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