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).


kmeans-vector-0.2 supports having feature vectors associated to objects, and thus computing kmeans on these vectors, letting you recover the initial objects.


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 2011-2012 Alp Mestanogullari
Author Alp Mestanogullari <>, Ville Tirronen
Maintainer Alp Mestanogullari <>
Stability Experimental
Category Math
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Source repository head: git clone
Uploaded Wed Apr 4 18:35:47 UTC 2012 by AlpMestanogullari
Distributions NixOS:0.3.2
Downloads 1034 total (20 in the last 30 days)
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Status Docs uploaded by user
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