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Cited by 377

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Accelerating exact k-means algorithms with geometric reasoning

Pelleg, Dan, Moore, Andrew·1999·Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining

Abstract

Article Free Access Share on Accelerating exact k-means algorithms with geometric reasoning Authors: Dan Pelleg School of Computer Science, Carnegie Mellon University School of Computer Science, Carnegie Mellon UniversityView Profile , Andrew Moore School of Computer Science, Carnegie Mellon University School of Computer Science, Carnegie Mellon UniversityView Profile Authors Info & Claims KDD '99: Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data miningAugust 1999 Pages 277–281https://doi.org/10.1145/312129.312248Published:01 August 1999Publication History 196citation2,139DownloadsMetricsTotal Citations196Total Downloads2,139Last 12 Months555Last 6 weeks42 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

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Metadata

Authors
Pelleg, D., & Moore, A.
Venue
Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
Publisher
ACM
Published
1999-08
Pages
277-281
OpenAlex
W1999668761
Cited by
377
References
1
FWCI
5.94
Type
conference paper
Language
en
Open access
closed

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CoChat. (2026). Citation check: Accelerating exact k-means algorithms with geometric reasoning. https://app.cochat.ai/papers/10.1145/312129.312248
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Pelleg, D., & Moore, A. (1999). Accelerating exact k-means algorithms with geometric reasoning. Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining. https://doi.org/10.1145/312129.312248

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