name:                hps-kmeans
version:             0.1.0.0
stability:	     Experimental

synopsis:            A nice implementation of the k-Means algorithm.

description:	     An implementation of the k-Means algorithm in Haskell that aims to be simple, readable, extendable and efficient enough to be used as a building block. More finger-typed documentation can be found in <http://stathacking.com/hps-kmeans>
homepage:            http://stathacking.com/hps-kmeans

license:             GPL-3
license-file:        LICENSE
author:              Rodrigo Gadea
maintainer:          rodrigo.gadea@gmail.com
copyright:           2012 Rodrigo Gadea

category:            Math, Statistics, Algorithms, Data Mining, Clustering, Pattern Recognition

build-type:          Simple
cabal-version:       >=1.8

extra-source-files:
        doc/examples/*.hs

library
  exposed-modules:     Math.Statistics.KMeans
  build-depends:       base ==4.5.*, vector ==0.9.*