An Implementation of the HDBSCAN Clustering Algorithm

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 implement...

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Bibliographic Details
Published in:Applied sciences Vol. 12; no. 5; p. 2405
Main Authors: Stewart , Geoffrey, Al-Khassaweneh, Mahmood
Format: Journal Article
Language:English
Published: Basel MDPI AG 01.03.2022
Subjects:
algorithm
Algorithms
Cluster analysis
Clustering
Datasets
hdbscan
implementation
Java
Libraries
Literature reviews
Machine learning
tribuo
ISSN:2076-3417, 2076-3417
Online Access:Get full text
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Summary: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.
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ISSN:2076-3417
2076-3417
DOI:10.3390/app12052405