Dimension Reduction

PCA

Think about:

1) How to find eigen value & vectors for m x m and m x n matrixes.

2) How to do SVD

3) How to do PCA

4) Differences and similarities between SVD & PCA

ICA

CCA

LDA

Isomap

LLE

Neural Network Hidden Layer