How to classify using PCA ("pcares" function)
2 views (last 30 days)
Show older comments
Hello.
I want to do a video classification.
I found some function about PCA.
[residuals,reconstructed] = pcares(X,5)
After using pcares(X,5), Can I classify data using "reconstructed"?
I mean, "reconstructed" is 3600 x 25.
1. After flattening each data, I got 90000 X 1.
2. I have 90 data, so I got 90 X 90001 (the last column is class).
3. Using classification methods like SVM, KNN, etc.
4. calculate the accuracy of the classification.
Is it a reasonable approach? or do I need to use other methods as PCA not "pcares".
When I use "reconstructed" data after "pcares", the accuracy of classification is so low.
Please let me know how to deal with this issue.
0 Comments
Answers (0)
See Also
Categories
Find more on Dimensionality Reduction and Feature Extraction in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!