| Unsupervised Bayesian classification system that seeks a maximum posterior probability classification. Inputs consist of a database of attribute vectors (cases), either real or discrete valued, and a class model. Default class models are provided. AutoClass finds the set of classes that is maximally probable with respect to the data and model. The output is a set of class descriptions, and partial membership of the cases in the classes. | | |
