專案描述

PennAspect is a software implementation of the
two-way aspect model, which is a latent class
statistical mixture model for performing soft
clustering of co-occurrence data observations. It
acts on data such as document/word pairs (words
occurring in documents) or movie/people pairs
(people see certain movies) to produce their joint
distribution estimate. The distribution is packaged
as Java source and class files.

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