Difference between revisions of "Autoclass"

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|Homepage URL=http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/
 
|Homepage URL=http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/
 
|User level=none
 
|User level=none
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|Is High Priority Project=No
 
|Computer languages=C
 
|Computer languages=C
 
|Documentation note=User intro included; user reference manual included
 
|Documentation note=User intro included; user reference manual included
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|Decommissioned/Obsolete=No
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|Accepts cryptocurrency donations=No
 
|Keywords=class,learning,classification,clustering,attribute,value
 
|Keywords=class,learning,classification,clustering,attribute,value
 
|Version identifier=3.3.6
 
|Version identifier=3.3.6
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|Version download=https://ti.arc.nasa.gov/m/project/autoclass/autoclass-c-3-3-6.tar.gz
 
|Version download=https://ti.arc.nasa.gov/m/project/autoclass/autoclass-c-3-3-6.tar.gz
 
|Version comment=3.3.6 stable released 2009-09-01
 
|Version comment=3.3.6 stable released 2009-09-01
|Last review by=Alejandroindependiente
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|Test entry=No
|Last review date=2016/12/22
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|Last review by=Bendikker
|Submitted by=Database conversion
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|Last review date=2018/04/17
 
|Submitted date=2011-04-01
 
|Submitted date=2011-04-01
|Status=
 
 
|Is GNU=No
 
|Is GNU=No
|License verified date=2001-01-31
 
 
}}
 
}}
 
{{Project license
 
{{Project license
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|Role=Maintainer
 
|Role=Maintainer
 
|Email=jrv@vanzandt.mv.com
 
|Email=jrv@vanzandt.mv.com
|Resource URL=
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}}
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{{Resource
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|Resource audience=Python (Ref)
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|Resource URL=https://pypi.org/project/autoclass
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}}
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{{Resource
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|Resource audience=Debian (Ref)
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|Resource URL=https://tracker.debian.org/pkg/autoclass
 
}}
 
}}
 
{{Software category
 
{{Software category

Latest revision as of 12:37, 17 April 2018


[edit]

Autoclass

http://ic-www.arc.nasa.gov/ic/projects/bayes-group/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.





Licensing

License

Verified by

Verified on

Notes

Verified by

Janet Casey

Verified on

31 January 2001




Leaders and contributors

Contact(s)Role
James R. Van Zandt Maintainer


Resources and communication

AudienceResource typeURI
Python (Ref)https://pypi.org/project/autoclass
Debian (Ref)https://tracker.debian.org/pkg/autoclass


Software prerequisites

KindDescription
Required to useglibc




Entry










"Python (Ref)" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.


"Debian (Ref)" is not in the list (General, Help, Bug Tracking, Support, Developer) of allowed values for the "Resource audience" property.










Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, no Front-Cover Texts, and no Back-Cover Texts. A copy of the license is included in the page “GNU Free Documentation License”.

The copyright and license notices on this page only apply to the text on this page. Any software or copyright-licenses or other similar notices described in this text has its own copyright notice and license, which can usually be found in the distribution or license text itself.