The kmeans-vector package

[Tags:benchmark, bsd3, library, program]

Provides a simple (but efficient) implementation of the k-means clustering algorithm. The goal of this algorithm is to, given a list 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).

Sample output (after some gnuplot hackery -- see the tests dir in the repository):

Expect some improvements on the initial clustering, thus resulting in a better clustering, for future versions.


Versions 0.1, 0.1.1, 0.2, 0.3, 0.3.1, 0.3.2
Dependencies base (==4.*), vector (>=0.7) [details]
License BSD3
Copyright 2011 Alp Mestanogullari
Author Alp Mestanogullari <>
Maintainer Alp Mestanogullari <>
Stability Experimental
Category Math
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Source repository head: git clone
Uploaded Sun Oct 9 18:08:09 UTC 2011 by AlpMestanogullari
Distributions NixOS:0.3.2
Downloads 1027 total (14 in the last 30 days)
0 []
Status Docs uploaded by user
Build status unknown [no reports yet]




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