classesbybasis

This takes an ortogonal basis set as created by svdcmp and uses it to operate on a set of images

classesbybasis <input> <ref set> <basis set> [mask=<rad>] [frac=<num>/<denom>] [nbasis=<n>] [logit=<label>] [groups=<ngrp>] [maxshift=<dxy>] [verbose[=<n>]] [lcmptoo] [clsbylcmp] [quiet] [noisecomp] [skip1] [svweight]

Parameters:


<input>Input images to classify
<ref set>Reference data set
<basis set>A set of orthogonal basis images as generated by svdcmp
[mask=<rad>]Mask radius
[frac=<num>/<denom>]Operate only on a fraction of the raw images
[nbasis=<n>]Number of basis images to use from the basis set. Defaults to all.
[logit=<label>]This specifies a label to use in the particle.log file. This records particle number classification throughout a refinement.
[groups=<ngrp>]This will classify into multiple sets. Used by svdmultirefine.py
[maxshift=<dxy>]Maximum radial translation
[verbose[=<n>]]More verbose output
[lcmptoo]This will also generate an lcmp quality factor for each classification
[clsbylcmp]This will classify based on lcmp comparison of the aligned images
[quiet]No logging
[noisecomp]Noise compensation
[skip1]Skips the first basis vector
[svweight]Weight each basis vector by its singular value (rarely a good idea)

Usage:


EMAN Manual page, generated Mon Jun 10 13:39:04 2002