Java Clustering Library [closed]

Answer 1

If Scala also works for you, then you might want to check this version of KMeans in Scala:

https://github.com/wspringer/kmeans

A related blog post is here:

http://nxt.flotsam.nl/k-means-clustering.html

Answer 2

If you want some basic clustering algorithms in Java, you can check my software:

http://www.philippe-fournier-viger.com/spmf/

It offers an implementation of KMeans and a hierarchical clustering algorithm.

The other algorithms offered are for pattern mining. Totally, there are 47 algorithms. But only 2 for clustering. Another thing: there is a simple GUI for launching the algorithms.

Answer 3

I would take a look at JUNG. It has a number of clustering algorithms implemented, although I'm not sure if K-means is one of them.

Another option might be to take a look at Knime, an Eclipse based workflow editor. This includes a number of clustering primitives you can use as part of a workflow, including K-means.

Answer 4

Apache Mahout implements many clustering algorithms, via Hadoop. It's a little heavy for what you want, but: http://cwiki.apache.org/MAHOUT/syntheticcontroldata.html

Also you might be able to dig out and adapt the user clustering code from Mahout's TreeClusteringRecommender class, which uses clustering for recommender engine purposes.

Answer 5

There are some open-source clustering algorithms in Java available here, available under the GPL. Requires the Java Colt library (for matrices). http://open.trickl.com/

Answer 6

Take a look at org.apache.commons.math4.ml.clustering.KMeansPlusPlusClusterer in Apache's Commons Math library.