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Distributed data clustering can be efficient and exact
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Cluster ComputingEngineeringBig Data AnalyticsPage MillDistributed Data ProcessingMining MethodsDistributed Data AnalyticsCluster TechnologyDistributed Data ClusteringData ScienceData MiningData IntegrationParallel ComputingData ManagementStatisticsHigh-performance Data AnalyticsDocument ClusteringClustering (Nuclear Physics)Data ClusteringKnowledge DiscoveryComputer ScienceAlert PreferencesClustering (Data Mining)Massive Data ProcessingBig Data
article Free Access Share on Distributed data clustering can be efficient and exact Authors: George Forman Hewlett-Packard Research Labs., 1501 Page Mill, Palo Alto, CA Hewlett-Packard Research Labs., 1501 Page Mill, Palo Alto, CAView Profile , Bin Zhang Hewlett-Packard Research Labs., 1501 Page Mill, Palo Alto, CA Hewlett-Packard Research Labs., 1501 Page Mill, Palo Alto, CAView Profile Authors Info & Claims ACM SIGKDD Explorations NewsletterVolume 2Issue 2Dec. 2000 pp 34–38https://doi.org/10.1145/380995.381010Published:01 December 2000Publication History 76citation1,212DownloadsMetricsTotal Citations76Total Downloads1,212Last 12 Months87Last 6 weeks16 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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