Principal Component Analysis for feature extraction
7 次查看(过去 30 天)
显示 更早的评论
Hi. I'm learning about PCA and wanted to learn how it can be used for feature extraction and if it is feasible to extract features using PCA? Also I don't understand when exactly is PCA used in image processing. From what I understand it is used to reduce the size of a dataset and then features are extracted from that dataset using some other methods such as GLCM. Am I correct?
回答(1 个)
deepak panday
2018-1-10
[coff,score]=pca(data) newData = data*coff(:,1:n)
where n is number of feature to selected.
2 个评论
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!