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本單元利用幾何的概念來介紹線性區別分析(Linear Discriminant Analysis )於特徵萃取(feature extraction)上的應用,
並介紹如何將kernel method結合線性區別分析的概念,
發展出非線性的廣義區別分析(Generalized Discriminant Analysis)。
 
We use some simple geometric concepts to introduce linear discriminant analysis (LDA).
Then a nonlinear discriminant analysis, generalized discriminant analysis (GDA),
by applying kernel method is also described in this video.
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