PCA
Also known as · dimensionality-reduction
Principal Component Analysis — unsupervised feature extraction via a variance-maximising rotation.
See ML Lec 7.
Appears in
No references yet.
Also known as · dimensionality-reduction
Principal Component Analysis — unsupervised feature extraction via a variance-maximising rotation.
See ML Lec 7.
No references yet.