Principal Component Analysis for feature extraction
8 views (last 30 days)
Show older comments
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?
Answers (1)
deepak panday
on 10 Jan 2018
[coff,score]=pca(data) newData = data*coff(:,1:n)
where n is number of feature to selected.
2 Comments
See Also
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and File Exchange
Products
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!