2D classification and particle screening

'samclasscas.py' does standard 2D classification, by running iterations of PCA (principle component analysis), k-means classification and MRA (multi-reference alignment).

'samtree2d.py' separates particles solely based on their cross-correlation values from MRA.

A detailed description and comparison of these two methods can be found here: [Download samtree2dvsCas.pdf]