How to decide value of 'ndim' when using ,[residuals,reconstructed] = pcares(X,ndim) , for Feature size reduction using PCA?

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ipwork 2015 年 6 月 27 日

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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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How to decide value of 'ndim' when using ,[residuals,reconstructed] = pcares(X,ndim) , for Feature size reduction using PCA?

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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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How to decide value of 'ndim' when using ,[residuals,reconstructed] = pcares(X,ndim) , for Feature size reduction using PCA?

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