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A simple library for unsupervised classification of data.

Project Description
A re-implementation of the C “Vanilla-Snob” MML
mixture-modeller by Chris Wallace. Little Snob is a library for unsupervised classification of a set of data into classes. It can handle continuous or discrete data, and is capable of determining the optimal number of classes to use on its own.
Release History

Release History

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