How to use Principal Component Analysis to reduce feature vector size?

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mona 2017년 3월 2일
답변: Image Analyst 2017년 3월 2일
I am working on character recognition. Feature vector size i got is 200x1 How can i use pca analysis to reduce the feature vector ?


Image Analyst
Image Analyst 2017년 3월 2일
Run it through pca(). Look at the first few components and their loadings/weightings. If some feature is not being used by the components you want to use, then you can try getting rid of it. If your classifications are the same, then those features were not really needed.

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