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Clustering to Minimize the Maximum Intercluster Distance

著者: Teofilo F. Gonzalez - Theoretical Computer Science 1985 被引用: 1,725

On Grouping for MaximumHomogeneityOn Grouping for Maximum HomogeneityAutomatischeKlassifikationAutomatische KlassifikationThe SMART RetrievalSystem—Experiments in…The SMART Retrieval System—Experiments in Automatic Document ProcessingAdmissible clusteringproceduresAdmissible clustering proceduresProceedings of asymposium on the…Proceedings of a symposium on the Complexity of Computer Computations, held March 20-22, 1972, at the IBM Thomas J. Watson Research Center, Yorktown Heights, New York, USAPattern classificationand scene analysisPattern classification and scene analysisPattern Classificationand Scene Analysis.Pattern Classification and Scene Analysis.P-Complete ApproximationProblemsP-Complete Approximation ProblemsOn the Complexity ofClustering ProblemsOn the Complexity of Clustering ProblemsFundamentals of ComputerAlgorithmsFundamentals of Computer AlgorithmsComputers andIntractability: A Guide…Computers and Intractability: A Guide to the Theory of NP-CompletenessOn the computationalcomplexity of clusterin…On the computational complexity of clustering and related problemsDynamic Distance Maps ofthe InternetDynamic Distance Maps of the InternetThe BidimensionalityTheory and Its…The Bidimensionality Theory and Its Algorithmic ApplicationsNearest-neighbor cachingfor content-match…Nearest-neighbor caching for content-match applicationsReal-Time Human PoseRecognition in Parts…Real-Time Human Pose Recognition in Parts from Single Depth ImagesGeometric ApproximationAlgorithmsGeometric Approximation AlgorithmsMinimumData-Latency-Bound…Minimum Data-Latency-Bound k-Sink Placement Problem in Wireless Sensor NetworksQuantum speed-up forunsupervised learningQuantum speed-up for unsupervised learningiGeoRec: A Personalizedand Efficient…iGeoRec: A Personalized and Efficient Geographical Location Recommendation FrameworkFast Distributedk-Center Clustering wit…Fast Distributed k-Center Clustering with Outliers on Massive DataGreedy Strategy Worksfor k-Center Clustering…Greedy Strategy Works for k-Center Clustering with Outliers and Coreset ConstructionTrust Cop-KmeansClustering Analysis and…Trust Cop-Kmeans Clustering Analysis and Minimum-Cost Consensus Model Considering Voluntary Trust Loss in Social Network Large-Scale Decision-MakingLCDNet: Deep LoopClosure Detection for…LCDNet: Deep Loop Closure Detection for LiDAR SLAM based on Unbalanced Optimal TransportClustering to Minimizethe Maximum Intercluste…Clustering to Minimize the Maximum Intercluster Distance過去の参考文献中心の論文この論文を引用する論文古い新しい

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