Difference between revisions of "Autoclass"

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(Created page with "{{Entry |Name=Autoclass |Short description=Automatic classification or clustering |Full description=AutoClass solves the problem of automatic discovery of classes in data (someti...")
 
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|Short description=Automatic classification or clustering
 
|Short description=Automatic classification or clustering
 
|Full description=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.
 
|Full description=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.
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|Homepage URL=http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/
 
|User level=none
 
|User level=none
|Status=Live
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|Is High Priority Project=No
|Component programs=
 
|Homepage URL=http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/
 
|VCS checkout command=
 
 
|Computer languages=C
 
|Computer languages=C
 
|Documentation note=User intro included; user reference manual included
 
|Documentation note=User intro included; user reference manual included
|Paid support=
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|Decommissioned/Obsolete=No
|IRC help=
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|Accepts cryptocurrency donations=No
|IRC general=
 
|IRC development=
 
|Related projects=
 
 
|Keywords=class,learning,classification,clustering,attribute,value
 
|Keywords=class,learning,classification,clustering,attribute,value
|Is GNU=n
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|Version identifier=3.3.6
|Last review by=Janet Casey
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|Version date=2009/09/01
|Last review date=2003-03-28
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|Version status=stable
|Submitted by=Database conversion
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|Version download=https://ti.arc.nasa.gov/m/project/autoclass/autoclass-c-3-3-6.tar.gz
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|Version comment=3.3.6 stable released 2009-09-01
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|Test entry=No
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|Last review by=Bendikker
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|Last review date=2018/04/17
 
|Submitted date=2011-04-01
 
|Submitted date=2011-04-01
|Version identifier=3.3.4
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|Is GNU=No
|Version date=2002-01-24
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}}
|Version status=stable
+
{{Project license
|Version download=http://ic-www.arc.nasa.gov/ic/projects/bayes-group/autoclass/autoclass-c-3-3-4.tar.gz
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|License=PublicDomain
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|License verified by=Janet Casey
 
|License verified date=2001-01-31
 
|License verified date=2001-01-31
|Version comment=3.3.4 stable released 2002-01-24
 
 
}}
 
}}
 
{{Person
 
{{Person
 +
|Real name=James R. Van Zandt
 
|Role=Maintainer
 
|Role=Maintainer
|Real name=James R. Van Zandt
 
 
|Email=jrv@vanzandt.mv.com
 
|Email=jrv@vanzandt.mv.com
|Resource URL=
+
}}
 +
{{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
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|Mathematics=statistics
 
|Mathematics=statistics
 
|Use=mathematics
 
|Use=mathematics
}}
 
{{Project license
 
|License=PublicDomain
 
|License verified by=Janet Casey
 
|License verified date=2001-01-31
 
 
}}
 
}}
 
{{Software prerequisite
 
{{Software prerequisite
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|Prerequisite description=glibc
 
|Prerequisite description=glibc
 
}}
 
}}
 +
{{Featured}}

Latest revision as of 11:37, 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.

Documentation

User intro included; user reference manual included





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


Software prerequisites

KindDescription
Required to useglibc

This entry (in part or in whole) was last reviewed on 17 April 2018.



Entry






Property "Submitted by" (as page type) with input value "{{{Submitted by}}}" contains invalid characters or is incomplete and therefore can cause unexpected results during a query or annotation process.












"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.










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