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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:

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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