Name: som Version: 8.0.1 Stability: experimental Synopsis: Self-Organising Maps. Description: 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 . Category: Math License: BSD3 License-file: LICENSE Copyright: (c) Amy de Buitléir 2010-2015 Homepage: https://github.com/mhwombat/som Bug-reports: https://github.com/mhwombat/som/issues Author: Amy de Buitléir Maintainer: amy@nualeargais.ie Build-Type: Simple Cabal-Version: >=1.8 source-repository head type: git location: https://github.com/mhwombat/som.git source-repository this type: git location: https://github.com/mhwombat/som.git tag: 8.0.1 library hs-source-dirs: src build-depends: base ==4.* && >=4.8, containers ==0.5.*, grid ==7.* && >=7.7, MonadRandom ==0.3.* ghc-options: -Wall exposed-modules: Data.Datamining.Clustering.SOM, Data.Datamining.Clustering.SOMInternal, Data.Datamining.Clustering.DSOM, Data.Datamining.Clustering.DSOMInternal, Data.Datamining.Clustering.SSOM, Data.Datamining.Clustering.SSOMInternal, Data.Datamining.Clustering.Classifier, Data.Datamining.Pattern test-suite som-tests type: exitcode-stdio-1.0 build-depends: base ==4.* && >=4.8, test-framework-quickcheck2 == 0.3.*, QuickCheck ==2.7.*, test-framework ==0.8.*, som, containers ==0.5.*, grid ==7.* && >=7.7, MonadRandom ==0.3.*, random ==1.1.* hs-source-dirs: test ghc-options: -Wall main-is: Main.hs other-modules: Data.Datamining.Clustering.SOMQC, Data.Datamining.Clustering.DSOMQC, Data.Datamining.Clustering.SSOMQC, Data.Datamining.PatternQC