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Fisher’s Linear Discriminant Analysis and Its Use in Feature Selection

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Citation Author(s):
Atalay Barkana
Mehmet Koc, Ozen Yelbasi
Submitted by:
Atalay Barkana
Last updated:
4 October 2017 - 9:26am
Document Type:
Presentation Slides
Document Year:
2017
Categories:
Pattern recognition and classification (MLR-PATT)
 

Introductory derivations are done before introducing the metric of Fisher’s LDA. Then, after introducing Fisher's LDA and its different forms, Fisher’s Metrics and their maximizations are given. The idea of traces in Fisher's LDA is explained. Weighted features method is used for feature selection. Various simple examples are provided to clarify the idea for the feature selection.

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