Autoclass

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Autoclass - Automatic classification or clustering

AutoClass solves the problem of automatic discovery of classes in data (sometimes called clustering or unsupervised learning), as distinct from the generation of class descriptions from labeled examples (called supervised learning). It aims to discover the 'natural' classes in the data.

AutoClass is applicable to observations of things that can be described by a set of attributes, without referring to other things. The data values corresponding to each attribute are limited to be either numbers or the elements of a fixed set of symbols. With numeric data, a measurement error must be provided.

Obtaining

Web page	http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/
Source tarball	http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/autoclass-c-3-3-4.tar.gz
Source information	http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/autoclass-c-program.html#Obtaining

Version 3.3.4 (stable) released on 2002-01-24

Licensed under PublicDomain.

This is not a GNU package.

Documentation

User intro included; user reference manual included

Support contacts

Project contacts

Maintainers	James R. Van Zandt <jrv@vanzandt.mv.com.>
Developers	Dr. Peter Cheeseman <cheesem@ptolomy.arc.nasa.gov> John Stutz <stutz@ptolomy.arc.nasa.gov> Will Taylor <taylor@ptolomy.arc.nasa.gov>
Sponsors	NASA

Related information

Interfaces	command line
Source languages	C
Use requirements	glibc

Entry information

License verified by	Janet Casey <jcasey@gnu.org> on 2001-01-31
Entry compiled by	Janet Casey <jcasey@gnu.org>

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