… We describe a Bayesian approach to the unsupervised … The main difference between
clustering and our approach is that we … We rate our classifications with an approximate posterior …

… AutoClass, an approach to unsupervised classi cation based upon the classical mixture model,
supplemented by a Bayesian method … the mathematics behind the AutoClass system. We …

… a Bayesian technique for unsupervised classification of data and its computer implementation,
AutoClass. … non-Bayesian approaches would have difficulty incorporating such knowledge …

… Our results show that the Bayesian method produces intuitively sensible classifications of …
First, as with the Bayesian method used in this paper, it is a partitional algorithm. Second, …

… cases, as most clustering techniques do, the Bayesian approach … summarizes the mathematical
foundations of AutoClass, … with the Bayesian theory of learning, and then applying it to …

… AutoClass is an unsupervised Bayesian classification system based upon the finite mixture
model supplemented by a Bayesian method … AutoClass uses a maximum likelihood to find …

… Bayesian approach to the problem of classification and AutoClass, a simple implementation
of it. … This paper has described the Bayesian approach to the problem of classification and …

… AutoClass, an approach to unsupervised classification based upon the classical mixture model,
supplemented by a Bayesian method … the mathematics behind the AutoClass system. We …

… techniques do, the Bayesian approach searches in a model space … AutoClass, beginning
with the Bayesian theory of learning, and then applying it to increasingly complex classification …

… the Bayesian approach searches in a model space for the "best" class descriptions. A best
classification … We axe now developing Autoclass IV around the full hierarchical block covariant …