AutoClass: A Bayesian Classification System
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.
Cite
Text
Cheeseman et al. "AutoClass: A Bayesian Classification System." International Conference on Machine Learning, 1988. doi:10.1016/B978-0-934613-64-4.50011-6Markdown
[Cheeseman et al. "AutoClass: A Bayesian Classification System." International Conference on Machine Learning, 1988.](https://mlanthology.org/icml/1988/cheeseman1988icml-autoclass/) doi:10.1016/B978-0-934613-64-4.50011-6BibTeX
@inproceedings{cheeseman1988icml-autoclass,
title = {{AutoClass: A Bayesian Classification System}},
author = {Cheeseman, Peter C. and Kelly, James and Self, Matthew and Stutz, John C. and Taylor, Will and Freeman, Don},
booktitle = {International Conference on Machine Learning},
year = {1988},
pages = {54-64},
doi = {10.1016/B978-0-934613-64-4.50011-6},
url = {https://mlanthology.org/icml/1988/cheeseman1988icml-autoclass/}
}