som: Self-Organising Maps

[ bsd3, library, math ] [ Propose Tags ]

A Kohonen Self-organising Map (SOM) maps input patterns onto a regular grid (usually two-dimensional) where each node in the grid is a model of the input data, and does so using a method which ensures that any topological relationships within the input data are also represented in the grid. This implementation supports the use of non-numeric patterns.

In layman's terms, a SOM can be useful when you you want to discover the underlying structure of some data.

The userguide is available at https://github.com/mhwombat/som/wiki.

Modules

[Last Documentation]

  • Data
    • Datamining
      • Clustering
        • Data.Datamining.Clustering.Classifier
        • Data.Datamining.Clustering.SOM
        • Data.Datamining.Clustering.SOMInternal
      • Data.Datamining.Pattern

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Versions [RSS] 1.0, 2.0, 3.0, 3.1, 4.0, 4.1, 4.2, 5.0, 5.1, 6.4, 6.5.1, 7.0.0, 7.0.1, 7.2.0, 7.2.1, 7.2.2, 7.2.3, 7.2.4, 7.3.0, 7.3.1, 7.4.0, 7.4.1, 7.5.0, 8.0.0, 8.0.1, 8.0.2, 8.0.3, 8.0.4, 8.0.5, 8.0.6, 8.1.1, 8.2.1, 8.2.2, 8.2.3, 9.0, 9.0.1, 9.0.2, 9.0.3, 9.0.4, 10.0.0, 10.0.1, 10.1.0, 10.1.1, 10.1.2, 10.1.3, 10.1.4, 10.1.5, 10.1.6, 10.1.7, 10.1.8, 10.1.11
Dependencies base (>=4 && <5), base-unicode-symbols (>=0.2 && <0.3), binary (>=0.5 && <0.8), containers (>=0.4.2 && <0.4.3 || >=0.5 && <0.6), grid (>=4 && <5), MonadRandom (>=0.1 && <0.2) [details]
License BSD-3-Clause
Copyright (c) Amy de Buitléir 2010-2012
Author Amy de Buitléir
Maintainer amy@nualeargais.ie
Category Math
Uploaded by AmyDeBuitleir at 2013-03-26T17:55:44Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 30864 total (124 in the last 30 days)
Rating 2.0 (votes: 1) [estimated by Bayesian average]
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Status Docs not available [build log]
Successful builds reported [all 7 reports]