e2classifykmeans

usage: prog [options] <input stack>
	
Performs k-means classification on a stack of aligned input images or invariants generated
from the input images. eg - if images are unaligned one option is to use the --fp option in 
e2proc2d.py to generate invariants which can then be classified. 

This program should not be confused with the k-means processor which provides a mechanism
for grouping pixels in a single map into regions. This program classifies similar images
together.

Option	Type	Description
--version	None	show program's version number and exit
--ncls, -N	int	Number of classes to generate
--average, -A	None	Average the particles within each class
--sigma	None	with --average, this will also produce standard deviation images for each average
--onein	None	Read 1-d input images from a single 2-D image (oneout in e2basis.py, default out e2msa.py)
--oneinali	None	Read 1-d input images from a single 2-D image where the first 4 elements on each row are da,dx,dy,flip
--normavg	None	Normalize averages
--clsmx	str	Standard EMAN2 output suitable for use with e2classaverage, etc.
--clsfiles, -C	None	Write EMAN 1 style cls files with members of each class
--mininclass	int	Try to eliminate classes with fewer than specified members. Default=2
--outlierclass	None	If selected, classes with fewer than mininclass particles will move permanently to an outlier class (the last class)
--original, -O	str	If the input stack was derived from another stack, you can provide the name of the original stack here
--axes	str	Works only for 1-D input images. Specify a range, eg 0-5 to indicate which components to use from each vector. Inclusive. default=all
--exclude	str	The named file should contain a set of integers, each representing an image from the input file to exclude.
--minchange	int	Minimum number of particles that change group before deicding to terminate. Default = len(data)/(#cls*25)
--fastseed	None	Will seed the k-means loop quickly, but may produce lest consistent results.
--ppid	int	Set the PID of the parent process, used for cross platform PPID
--verbose, -v	int	verbose level [0-9], higher number means higher level of verboseness