Suchergebnisse - "distributed clustering algorithm"
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1
Autoren: et al.
Quelle: The International Journal of Advanced Manufacturing Technology. 120(11-12):7895-7904
Schlagwörter: Big data, Cutting parameter optimization, Data mining, Distributed clustering, MapReduce framework, T.K-means algorithm, Aluminum alloys, K-means clustering, Metadata, Milling (machining), Parameter estimation, Surface roughness, Ternary alloys, Titanium alloys, Vanadium alloys, Computing power, Cutting parameters, Cutting parameters optimizations, Data mining technology, Distributed clustering algorithm, Intelligent Manufacturing, Mapreduce frameworks, Massive data, TK-mean algorithm
Dateibeschreibung: print
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Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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4
Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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5
Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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6
Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
Relation: https://figshare.com/articles/figure/Clustering_results_under_different_numbers_of_clients_/29308628
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7
Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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8
Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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9
Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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10
Autoren:
Schlagwörter: Biochemistry, Microbiology, Cell Biology, Biotechnology, Ecology, Cancer, Science Policy, Virology, Environmental Sciences not elsewhere classified, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Chemical Sciences not elsewhere classified, Information Systems not elsewhere classified, scale mnist dataset, add laplace noise, cluster backbone represents, cluster backbone (<, final clustering results, obtain cluster centers, distributed clustering algorithm, div >< p, means clustering algorithm, federated clustering algorithms, iid data effectively, cluster centers, means clustering, federated clustering, clustering accuracy, identically distributed, means based
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11
Autoren:
Quelle: International Journal of Research -GRANTHAALAYAH. 4:30-38
Schlagwörter: Distributed clustering algorithm, energy efficiency, wireless sensor network, clustering, network lifetime, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, 7. Clean energy
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12
Autoren: et al.
Quelle: Sensors (Basel)
Sensors, Vol 15, Iss 12, Pp 31108-31124 (2015)
Sensors; Volume 15; Issue 12; Pages: 31108-31124
Sensors
Volume 15
Issue 12
Pages 31108-31124Schlagwörter: Chemical technology, TP1-1185, 02 engineering and technology, 7. Clean energy, Article, 3. Good health, heterogeneous wireless sensor networks, sensor computing, distributed clustering algorithm, collaborative information processing, energy efficient, mobile sensor, 0202 electrical engineering, electronic engineering, information engineering
Dateibeschreibung: application/pdf
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13
Autoren:
Schlagwörter: Distributed clustering algorithm, energy efficiency, wireless sensor network, clustering, network lifetime
Relation: https://zenodo.org/records/158923; oai:zenodo.org:158923; https://doi.org/10.5281/zenodo.158923
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Autoren: et al.
Weitere Verfasser: et al.
Dateibeschreibung: application/pdf
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15
Autoren:
Quelle: Lecture Notes in Computer Science ISBN: 9783540241287
Schlagwörter: Network design and communication in computer systems, Distributed algorithms, distributed clustering algorithm
Dateibeschreibung: application/xml
Zugangs-URL: https://zbmath.org/2220136
https://link.springer.com/chapter/10.1007%2F978-3-540-30566-8_49
https://dblp.uni-trier.de/db/conf/ispa/ispa2004.html#ZhengSL04
https://link.springer.com/10.1007/978-3-540-30566-8_49
https://rd.springer.com/chapter/10.1007/978-3-540-30566-8_49
https://dl.acm.org/doi/10.1007/978-3-540-30566-8_49 -
16
Autoren:
Schlagwörter: Cluster stability, Distributed clustering, Distributed clustering algorithm, Dynamic features, Force directed algorithms, High mobility, Mobility pattern, Stable clusters, Vehicular networks, Mobile ad hoc networks, Mobile computing, Clustering algorithms
Relation: http://hdl.handle.net/11615/30480
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17
Autoren: et al.
Weitere Verfasser: et al.
Quelle: DTIC
Schlagwörter: Operations Research, Computer Programming and Software, Computer Systems, WIRELESS LINKS, NETWORK TOPOLOGY, CLUSTERING, SOFTWARE METRICS, GRAPHICAL USER INTERFACE, MOBILITY, ALGORITHMS, CONGESTION, WIRELESS AD-HOC NETWORKS, LOWEST ID CLUSTERING, HIGHEST DEGREE CLUSTERING, VISUALIZATION, NODE MOVEMENT, MOBIC(DISTRIBUTED CLUSTERING ALGORITHM), PE62202F, WUAFRL718408NY
Dateibeschreibung: text/html
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Autoren: et al.
Quelle: DTIC
Index Begriffe: Operations Research, Computer Programming and Software, Computer Systems, WIRELESS LINKS, NETWORK TOPOLOGY, CLUSTERING, SOFTWARE METRICS, GRAPHICAL USER INTERFACE, MOBILITY, ALGORITHMS, CONGESTION, WIRELESS AD-HOC NETWORKS, LOWEST ID CLUSTERING, HIGHEST DEGREE CLUSTERING, VISUALIZATION, NODE MOVEMENT, MOBIC(DISTRIBUTED CLUSTERING ALGORITHM), PE62202F, WUAFRL718408NY, Text
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