https://doi.org/10.1351/goldbook.10143
Supervised classification that performs a principal-component analysis on each class, and then an unknown is assigned to the class with which it has the lowest residual variance.
Notes:
- The number of principal-component factors chosen for each class is determined by cross validation.
- SIMCA is an example of the use of disjoint principal component analysis.