Academic Journal
An Implementation of the HDBSCAN* Clustering Algorithm.
| Τίτλος: | An Implementation of the HDBSCAN* Clustering Algorithm. |
|---|---|
| Συγγραφείς: | Stewart, Geoffrey, Al-Khassaweneh, Mahmood |
| Πηγή: | Applied Sciences (2076-3417); Mar2022, Vol. 12 Issue 5, p2405, 21p |
| Θεματικοί όροι: | Algorithms, Python programming language, Machine learning |
| Περίληψη: | 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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| Βάση Δεδομένων: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: An Implementation of the HDBSCAN* Clustering Algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Stewart%2C+Geoffrey%22">Stewart, Geoffrey</searchLink><br /><searchLink fieldCode="AR" term="%22Al-Khassaweneh%2C+Mahmood%22">Al-Khassaweneh, Mahmood</searchLink> – Name: TitleSource Label: Source Group: Src Data: Applied Sciences (2076-3417); Mar2022, Vol. 12 Issue 5, p2405, 21p – Name: Subject Label: Subject Terms Group: Su Data: <searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Python+programming+language%22">Python programming language</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: 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] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Applied Sciences (2076-3417) is the property of MDPI and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/app12052405 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 2405 Subjects: – SubjectFull: Algorithms Type: general – SubjectFull: Python programming language Type: general – SubjectFull: Machine learning Type: general Titles: – TitleFull: An Implementation of the HDBSCAN* Clustering Algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Stewart, Geoffrey – PersonEntity: Name: NameFull: Al-Khassaweneh, Mahmood IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 03 Text: Mar2022 Type: published Y: 2022 Identifiers: – Type: issn-print Value: 20763417 Numbering: – Type: volume Value: 12 – Type: issue Value: 5 Titles: – TitleFull: Applied Sciences (2076-3417) Type: main |
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