# kmeans-vector: An implementation of the kmeans clustering algorithm based on the vector package

Provides a simple (but efficient) implementation of the k-means clustering algorithm. The goal of this algorithm is to, given a set of n-dimensional points, regroup them in k groups, such that each point gets to be in the group to which it is the closest to (using the `center`

of the group).

CHANGELOG

3: total rewrite of the code, the code scales much better on big inputs and is overall consistently faster than the other kmeans implementations on hackage, on my laptop.

2: supports having feature vectors associated to objects, and thus computing kmeans on these vectors, letting you recover the initial objects.

## Downloads

- kmeans-vector-0.3.1.tar.gz [browse] (Cabal source package)
- Package description (as included in the package)

#### Maintainer's Corner

For package maintainers and hackage trustees

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Versions [RSS] | 0.1, 0.1.1, 0.2, 0.3, 0.3.1, 0.3.2 |
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Dependencies | base (>=4 && <5), kmeans-vector, mtl (>=2.1), probable, vector (>=0.7) [details] |

License | BSD-3-Clause |

Copyright | 2011-2015 Alp Mestanogullari |

Author | Alp Mestanogullari <alpmestan@gmail.com>, Ville Tirronen |

Maintainer | Alp Mestanogullari <alpmestan@gmail.com> |

Category | Math |

Home page | http://github.com/alpmestan/kmeans-vector |

Bug tracker | https://github.com/alpmestan/kmeans-vector/issues |

Source repo | head: git clone http://github.com/alpmestan/kmeans-vector.git |

Uploaded | by AlpMestanogullari at 2015-07-28T15:08:40Z |

Distributions | NixOS:0.3.2 |

Reverse Dependencies | 1 direct, 0 indirect [details] |

Executables | kmeans-example |

Downloads | 4093 total (2 in the last 30 days) |

Rating | (no votes yet) [estimated by Bayesian average] |

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Status | Docs available [build log] Last success reported on 2015-07-28 [all 1 reports] |