mia-cmeans1
C-means classification of a histogram.
Usage
mia-cmeans -i
<in-file>
-o
<out-file>
[options]
Overview
mia-cmeans 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=(required, input); string
|
input file name containing the histogram |
|---|---|
-o --out-file=(required, output); string
|
output file name to store probabilities |
-n --nclasses=3
|
number of classes to partition into |
-m --max-iter=100
|
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
-
variance parameter
-
--self-test -
run self test
Help & Info
- -V --verbose=warning
-
verbosity of output, print messages of given level and higher priorities. Supported priorities starting at lowest level are:
trace ‐ Function call trace
debug ‐ Debug output
info ‐ Low level messages
message ‐ Normal messages
warning ‐ Warnings
fail ‐ Report test failures
error ‐ Report errors
fatal ‐ Report only fatal errors
-
--copyright -
print copyright information
-
-h --help -
print this help
-
-? --usage -
print a short help
-
--version -
print the version number and exit
Processing
-
--threads=-1 -
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).
Examples
mia-cmeans
AUTHOR(s)
Gert Wollny
Releases
5 releases since Debian 8 (Jessie); the text changed 4 times.