This project contains collection of labeled clustering problems that can be found in the literature. Most of datasets were artificially created.

The benchmark includes:

• artificial datasets
• real world datasets

This project contains set of clustering methods benchmarks on various dataset. The project is dependent on Clueminer project.

in order to run benchmark compile dependencies into a single JAR file:

mvn assembly:assembly

allows running repeated runs of the same algorithm:

./run consensus --dataset "triangle1" --repeat 10

by default k-means algorithm is used.

For available datasets see resources folder.