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AutoClass: A Bayesian Classification System

Elsevier eBooksPublished 1 January 1988
Peter Cheeseman, James G. Kelly, Matthew W. Self, John Stutz, Will Taylor, Don Freeman
Citations504

Abstract

This paper describes AutoClass II, a program for automatically discovering (inducing) classes from a database, based on a Bayesian statistical technique which automatically determines the most probable number of classes, their probabilistic descriptions, and the probability that each object is a member of each class. AutoClass has been tested on several large, real databases and has discovered previously unsuspected classes. There is no doubt that these classes represent new phenomena.

Keywords

Computer ScienceMathematics