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
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.*