**asa136_test**,
a MATLAB program which
calls asa136 to divide N points in M dimensions into K clusters
so that the within-clusters sum of squares is minimized.

The computer code and data files described and made available on this web page are distributed under the GNU LGPL license.

asa136, a MATLAB library which implements a clustering algorithm, by Hartigan and Wong. This is a version of Applied Statistics Algorithm 136.

- asa136_test.m, a sample calling program.
- asa136_testsht, runs all the tests.
- asa136_test.txt, the output file.
- asa136_test01.m, tests KMNS.
- points_100.txt, a sample dataset of 100 points in 2D, to be arranged into 5 classes.