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Summary of clustering metrics across Accelerated-LVP iterations. Part I.

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Titel: Summary of clustering metrics across Accelerated-LVP iterations. Part I.
Autoren: Victoria Erofeeva, Oleg Granichin, Vikentii Pankov, Zeev Volkovich
Publikationsjahr: 2025
Schlagwörter: Cell Biology, Infectious Diseases, Biological Sciences not elsewhere classified, Mathematical Sciences not elsewhere classified, Information Systems not elsewhere classified, world datasets show, unlike traditional methods, trained neural network, dynamic network changes, system &# 8217, minimal communication overhead, efficient decentralized clustering, system adapts, clustering structure, clustering accuracy, %22">xlink ">, static topologies, paper presents, iot ), immediate results, highly suitable, generate compact, fly processing, dynamical multi, distributed environments, distributed aggregation, dimensionality reduction, data must, consistent summaries, consensus protocol
Beschreibung: Summary of clustering metrics across Accelerated-LVP iterations. Part I.
Publikationsart: dataset
Sprache: unknown
DOI: 10.1371/journal.pone.0327396.t001
Verfügbarkeit: https://doi.org/10.1371/journal.pone.0327396.t001
https://figshare.com/articles/dataset/Summary_of_clustering_metrics_across_Accelerated-LVP_iterations_Part_I_/29667960
Rights: CC BY 4.0
Dokumentencode: edsbas.CB01A491
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  – Url: https://doi.org/10.1371/journal.pone.0327396.t001#
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  Data: Summary of clustering metrics across Accelerated-LVP iterations. Part I.
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  Data: Summary of clustering metrics across Accelerated-LVP iterations. Part I.
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      – SubjectFull: Infectious Diseases
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      – SubjectFull: Biological Sciences not elsewhere classified
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      – SubjectFull: system &# 8217
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      – SubjectFull: minimal communication overhead
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      – SubjectFull: efficient decentralized clustering
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      – TitleFull: Summary of clustering metrics across Accelerated-LVP iterations. Part I.
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              Y: 2025
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