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How to decide value of 'ndim' when using ,[residual​s,reconstr​ucted] = pcares(X,ndim) , for Feature size reduction using PCA?

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ipwork on 27 Jun 2015
I am working on feature classification using KNN and SVM. Data size is 2000 images and features are histograms (of various bin sizes ) of large size for each image. I read above function can be used but my query is how to decide value of ndim which will ensure that the best features are retained ?


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