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

[ bsd3, library, math, program ] [ Propose Tags ]

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): http://i.imgur.com/IpIPC.png

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

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Versions [RSS] 0.1, 0.1.1, 0.2, 0.3, 0.3.1, 0.3.2
Dependencies base (>=4 && <5), vector (>=0.7) [details]
License BSD-3-Clause
Copyright 2011 Alp Mestanogullari
Author Alp Mestanogullari <alpmestan@gmail.com>
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 2011-10-09T18:08:09Z
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Reverse Dependencies 1 direct, 0 indirect [details]
Downloads 4150 total (16 in the last 30 days)
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Status Docs uploaded by user
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