- Mean the data
- subtract mean data and then normalized
- Compute covariance matrix
- Calculate eigenvalues and eigenvectors of Covariance Matrix
- Eigenvector with largest eigenvalue is principal component (PC)
- Select high k eigen vectors
- Score is inner product of eigenvectors and input vector