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AutoClass
| Name |
AutoClass |
| Description |
AutoClass is an unsupervised Bayesian classification system that seeks
a maximum posterior probability classification.
Its 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.
Please follow the link above to download the sourcecode for Windows
or Unix platforms. |
| Method Type |
System
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