AutoClass—a Bayesian approach to classification

J Stutz, P Cheeseman - Maximum Entropy and Bayesian Methods: Cambridge … - Springer
John Stutz and Peter Cheeseman NASA Ames Research Center Moffet Field, CA 94035
UsA We describe a Bayesian approach to the unsupervised discovery of classes in a set of …
被引用次数：82 相关文章

AUTOCLASS—A BAYESIAN APPROACH TO CLASSIFICATION

J Stutz, P Cheeseman - Maximum Entropy and Bayesian …, 2012 - books.google.com
We describe a Bayesian approach to the unsupervised discovery of classes in a set of
cases, sometimes called finite mixture separation or clustering. The main difference between …

AutoClass: A Bayesian Approach to Classification

J Stutz, P Cheeseman, R Hanson, W Taylor… - … Workshop (MaxEnt-94), 1994 - ntrs.nasa.gov
We describe a Bayesian approach to the untutored discovery of classes in a set of cases,
sometimes called finite mixture separation or clustering. The main difference between …

Autoclass—A Bayesian Approach to Classification

J Stutz, P Cheeseman - Maximum Entropy and Bayesian Methods: Cambridge … - Springer
We describe a Bayesian approach to the unsupervised discovery of classes in a set of
cases, sometimes called finite mixture separation or clustering. The main difference between …