Unsupervised Classification

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Mixtures

Problem: Given a number of things, xi where i=1..n, each thing having a number of attributes, xi1,...,xim, which are variously discrete or continuous values, how many classes (clusters, groups, species, types, ...) do the things belong to? Note that the number of classes and the specifications of the classes have not been given; they are part of the problem too. This problem is variously known as clustering, intrinsic classification, mixture modelling, numerical taxonomy, and unsupervised classification in different disciplines.

The Model Class

snob,
factor Snob,
mixture modelling,
etc.
Coding Ockham's Razor, L. Allison, Springer

A Practical Introduction to Denotational Semantics, L. Allison, CUP

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© L. Allison   http://www.allisons.org/ll/   (or as otherwise indicated),
Faculty of Information Technology (Clayton), Monash University, Australia 3800 (6/'05 was School of Computer Science and Software Engineering, Fac. Info. Tech., Monash University,
was Department of Computer Science, Fac. Comp. & Info. Tech., '89 was Department of Computer Science, Fac. Sci., '68-'71 was Department of Information Science, Fac. Sci.)
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