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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 pagehttp://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
Developers
Sponsors
  • NASA

Related information

Interfacescommand line
Source languagesC
Use requirementsglibc

Entry information

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

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