The kmeans-vector package

[Tags: bsd3, library, program]

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

0.3: 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. 0.2: supports having feature vectors associated to objects, and thus computing kmeans on these vectors, letting you recover the initial objects.


Properties

Versions0.1, 0.1.1, 0.2, 0.3
Dependenciesbase (==4.*), kmeans-vector, mtl (>=2.1), QuickCheck, vector (>=0.7)
LicenseBSD3
Copyright2011-2014 Alp Mestanogullari
AuthorAlp Mestanogullari <alpmestan@gmail.com>, Ville Tirronen
MaintainerAlp Mestanogullari <alpmestan@gmail.com>
StabilityExperimental
CategoryMath
Home pagehttp://github.com/alpmestan/kmeans-vector
Bug trackerhttps://github.com/alpmestan/kmeans-vector/issues
Source repositoryhead: git clone http://github.com/alpmestan/kmeans-vector.git
Executableskmeans-persons
Upload dateThu Jun 5 10:17:07 UTC 2014
Uploaded byAlpMestanogullari
Downloads291 total (24 in last 30 days)

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