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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Veröffentlicht in:Applied sciences Jg. 12; H. 5; S. 2405
Hauptverfasser: Stewart , Geoffrey, Al-Khassaweneh, Mahmood
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.03.2022
Schlagworte:
algorithm
Algorithms
Cluster analysis
Clustering
Datasets
hdbscan
implementation
Java
Libraries
Literature reviews
Machine learning
tribuo
ISSN:2076-3417, 2076-3417
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Beschreibung
Zusammenfassung: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.
Bibliographie:ObjectType-Article-1
SourceType-Scholarly Journals-1
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ISSN:2076-3417
2076-3417
DOI:10.3390/app12052405