asa136_test

asa136_test, an Octave code which calls asa136(), which divides N points in M dimensions into K clusters so that the within-clusters sum of squares is minimized.

Licensing:

The information on this web page is distributed under the MIT license.

Related Data and Programs:

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

Source Code:

• 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.