mia-cmeans

Sysnopis:

mia-cmeans {-i string} {-o string} [ options ...]

Description:

This Program reads a histogram from stdin and evaluates a cmeans classification of the intensity values into the given number of classes.

Options:

-i, --in-file=(input, required); string

input file name containing the histogram

-o, --out-file=(output, required); string

output file name to store probabilities

-n, --nclasses=3; int

number of classes to partition into

-m, --max-iter=100; int

maximum number of iterations

-e, --even-start

start with centers evenly distributed over the histogram

-c, --class-centers=

initial class centers

-a, --auto

atomatic adaption of variance (experimental)

-t, --cut-histo

cut empty histogram at the end

-k, --variance=1; double

variance parameter

--self-test

run self test

Help & Info

-V, --verbose=warning; dict

verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:

info:Low level messages
trace:Function call trace
fail:Report test failures
warning:Warnings
error:Report errors
debug:Debug output
message:Normal messages
fatal:Report only fatal errors
--copyright=(); bool

print copyright information

-h, --help=(); bool

print this help

-?, --usage=(); bool

print a short help

--version=(); bool

print the version number and exit

Processing

--threads=-1; int

Maxiumum number of threads to use for processing,This number should be lower or equal to the number of logical processor cores in the machine. (-1: automatic estimation).

Example:

mia-cmeans 

Author(s):

Gert Wollny