deepak panday
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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.
대략 7년 전 | 1
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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.
거의 8년 전 | 0
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