Treffer: An Implementation of the HDBSCAN* Clustering Algorithm.

Featured Application: The clustering implementation being presented can be used to discover clusters and identify outliers in a dataset. This implementation provides a fast prediction feature that makes it a compelling choice for applications, such as a streaming clustering service. An implementation of the HDBSCAN* clustering algorithm, Tribuo Hdbscan, is presented in this work. The implementation is developed as a new feature of the Java machine learning library Tribuo. This implementation leverages concurrency and achieves better performance than the reference Java implementation. Tribuo Hdbscan provides prediction functionality, which is a novel technique to make fast predictions for unseen data points using an HDBSCAN* clustering model. Tribuo Hdbscan cluster results and performance measurements are also compared with the state-of-the-art HDBSCAN* implementation, the Python module hdbscan. [ABSTRACT FROM AUTHOR]

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