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

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Bibliographic Details
Title:	Summary of clustering metrics across Accelerated-LVP iterations. Part I.
Authors:	Victoria Erofeeva, Oleg Granichin, Vikentii Pankov, Zeev Volkovich
Publication Year:	2025
Subject Terms:	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
Description:	Summary of clustering metrics across Accelerated-LVP iterations. Part I.
Document Type:	dataset
Language:	unknown
DOI:	10.1371/journal.pone.0327396.t001
Availability:	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
Accession Number:	edsbas.CB01A491
Database:	BASE

Description
Abstract:	Summary of clustering metrics across Accelerated-LVP iterations. Part I.
DOI:	10.1371/journal.pone.0327396.t001