Autoclass

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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.










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