Usage
classes <footprints> <# classes> [list] [weight=<file>]
<footprints> | file containing 'footprints' of original images. 'footprint' file contains filename of the original image file it was generated from. |
<#classes> | number of classes to generate. A good starting value is the number of images divided by something between 10 and 50. |
list | causes a list file to be generated describing which images went into each class. |
weight=<file> | not usually used. A weight file can be used to specify the relative importance of each footprint variable. |
output files | Generates a set of files called cls###.hed |
Typical Usage
classes start.fp 50
Description
This program is used to classify images when no preliminary 3d model
is available. It uses a set of 'footprints' generated by footprint[2,3]
to judge the relative similarity of individual images and split them into
as many classes as you like. Classification is done using the k-mean method.
Once the images have been classified, typically classalignall
will be used to generate class averages. Only a small fraction of the class
averages will typically represent good particle views, but it should generate
enough that you can generate a preliminary model to use for 3d refinement.
EMAN Copyright 1997-8 Steve Ludtke, Phil Baldwin