deepak panday
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Awarded to deepak panday on 20 Jul 2017
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Awarded to deepak panday on 20 Jul 2017
Answered
Principal Component Analysis for feature extraction
[coff,score]=pca(data) newData = data*coff(:,1:n) where n is number of feature to selected.
Principal Component Analysis for feature extraction
[coff,score]=pca(data) newData = data*coff(:,1:n) where n is number of feature to selected.
más de 2 años ago | 1
Answered
Need high dimension (30-50) dataset for applying PCA
google UCI machine learning datasets.
Need high dimension (30-50) dataset for applying PCA
google UCI machine learning datasets.
más de 3 años ago | 0
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