clustering

High performance clustering algorithms

Version on this page:	0.3.1
LTS Haskell 9.21:	0.3.1
Stackage Nightly 2017-11-25:	0.3.1
Latest on Hackage:	0.4.0

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MIT licensed by Kai Zhang

Maintained by kai@kzhang.org

Module documentation for 0.3.1

AI
- AI.Clustering

Following clutering methods are included in this library:

1 Agglomerative hierarchical clustering. Complete linkage O(n^2), Single linkage O(n^2), Average linkage O(n^2), Weighted linkage O(n^2), Ward's linkage O(n^2).

2 KMeans clustering.

Depends on 9 packages:

base, binary, containers, matrices, mwc-random, parallel, primitive, unordered-containers, vector

Used by 1 package:

bioinformatics-toolkit