Volume no :24, Issue no: 1, November

A NOVEL DISCRIMINANT CRITERION FOR DATA CLASSIFICATION

Author's: LI LI and JIANQIANG GAO
Pages: [13] - [27]
Received Date: November 16, 2013
Submitted by:

Abstract

A calculation formula of recognition rate deviation wave (RRDW) is introduced in this paper. Meanwhile, the recognition performance of regularized linear discriminant analysis (RLDA) and maximum scatter difference discriminant analysis (MSD) methods were compared by using different parameters in three UCI data sets. The experimental results show that the recognition performance of RLDA is outperforms MSD under appropriate parameters. In addition, for different K values of K-nearest neighbour classifier (K-NNC), the RRDW of MSD is smaller than RLDA. Therefore, in practical applications, RRDW should be considered as a stable method to handle recognition tasks.

Keywords

RRDW, parameter selection, classification rate, RLDA, MSD.