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Modified linear discriminant analysis

✍ Scribed by Songcan Chen; Daohong Li

Publisher
Elsevier Science
Year
2005
Tongue
English
Weight
102 KB
Volume
38
Category
Article
ISSN
0031-3203

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✦ Synopsis

In this paper, a modified Fisher linear discriminant analysis (FLDA) is proposed and aims to not only overcome the rank limitation of FLDA, that is, at most only finding a discriminant vector for 2-class problem based on Fisher discriminant criterion, but also relax singularity of the within-class scatter matrix and finally improves classification performance of FLDA. Experiments on nine publicly available datasets show that the proposed method has better or comparable performance on all the datasets than FLDA.

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