Version 1.0, April 2006 (c) copyright S.Chekanov (firstname.lastname@example.org)
JMinHEP is a framework for clustering analysis, i.e. for non-supervised
learning in which the classification process does not depend on a
The program is a pure JAVA-based application and includes the
K-means clustering analysis (single and multi pass)
C-means (fuzzy) algorithm
Agglomerative hierarchical clustering
.. more will be included soon
More information can be found in
or this tutorial.
Then unzip and untar it (tar -zvxf JMinHEP-[version].tar.gz under Linux/Unix).
This will create a directory: jminhep with JMinHEP.jar file. You can
run it as usual, i.e. as java -jar JMinHEP.jar
This program is absolute and not supported.
A new version of jMinHep with full documentation can be found in jMinHep web page.