Clustering benchmarks

Datasets

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

Artificial data

Experiments

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

Consensus experiment

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.