KPCA or MPCA which one is better for feature extraction
Kernel Principal Component is best to reduce the data dimensionality and feature extraction.
Refer this article:
https://www.frontiersin.org/articles/10.3389/fnsys.2012.00074/full
KPCA
you can find a good dealing in
Proceedings of the Second International Conference on Computer and Communication vol 3
send ma an email
[email protected]
I'll provide you a copy if you want
best wishes
Ebrahim
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