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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.

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