AutoClass AutoClass is an approach to unsupervised classification based upon the classical mixture model, supplemented by a Bayesian method for determining the optimal classes. It is particularly useful for extracting information from databases. Key features are: determines the number of classes automatically; can use mixed discrete and real valued data; can handle missing values; processing time is roughly linear in the amount of the data; cases have probabilistic class membership; allows correlation between attributes within a class; generates reports describing the classes found; and predicts "test" case class memberships from a "training" classification. There are several implementations available for AutoClass, in Common Lisp and in ANSI C (called AutoClass C).

Current Version:   3.3.2 (AutoClass C) License Type:   Free

Home Site: http://ic-www.arc.nasa.gov/ic/projects/bayes-group/group/autoclass/autoclass-c-program.html Source Code Availability:   Yes Available Binary Packages: Debian Package:   Yes RedHat RPM Package:   No Other Packages:   No Targeted Platforms: AutoClass C has been ported to and tested on: SunSparc with Solaris or SunOS, SGI IRIX5.2, Linux, HPUX. Software/Hardware Requirements: ANSI C compiler for AutoClass C

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