The kmeans-vector package
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]|
|Copyright||2011-2012 Alp Mestanogullari|
|Author||Alp Mestanogullari <firstname.lastname@example.org>, Ville Tirronen|
|Maintainer||Alp Mestanogullari <email@example.com>|
|Source repository||head: git clone http://github.com/alpmestan/kmeans-vector.git|
|Uploaded||Wed Apr 4 18:35:47 UTC 2012 by AlpMestanogullari|
|Downloads||1002 total (8 in the last 30 days)|
|Status||Docs uploaded by user
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