Little-Snob 0.2

A simple library for unsupervised classification of data.

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.

• Author: Paul Harrison
• Home Page: http://www.logarithmic.net/pfh/Little_Snob
• License: GPL
• Package Index Owner: pfh
• DOAP record: Little-Snob-0.2.xml