Multireference Classification

In multireference classification the full set of particles are compared to a predefined number of reference volumes. Each experimental particle is aligned with respect to all references and is assigned to one of them based on the constrained cross-correlation coefficient as a similarity measure. Averaging over the subsets determined serves to calculate new, improved references for further iterations. The user can then iterate this procedure and stop when no more migration of particles between subsets is observed and the averages within each subset do not change any more.

Within subTOM a function subtom_rand_class_motl serves to initialize random classes and initial references if the user does not alread have them, and then the subTOM functions subtom_scan_angles_exact_multiref, and subtom_compare_motls_multiref have been modified to fit the new modus of multireference classification and alignment.