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Examples of three random samples from the validation dataset.

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Titel: Examples of three random samples from the validation dataset.
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: Each sample shows 1000 agents’ states mapped onto a ), together with the predicted centroids: 10 centroids for Samples 1 and 2, and 3 centroids for Sample 3.
Publikationsart: still image
Sprache: unknown
Relation: https://figshare.com/articles/figure/Examples_of_three_random_samples_from_the_validation_dataset_/29667951
DOI: 10.1371/journal.pone.0327396.g001
Verfügbarkeit: https://doi.org/10.1371/journal.pone.0327396.g001
https://figshare.com/articles/figure/Examples_of_three_random_samples_from_the_validation_dataset_/29667951
Rights: CC BY 4.0
Dokumentencode: edsbas.972BC7C4
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  Data: Examples of three random samples from the validation dataset.
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  Data: <searchLink fieldCode="AR" term="%22Victoria+Erofeeva%22">Victoria Erofeeva</searchLink><br /><searchLink fieldCode="AR" term="%22Oleg+Granichin%22">Oleg Granichin</searchLink><br /><searchLink fieldCode="AR" term="%22Vikentii+Pankov%22">Vikentii Pankov</searchLink><br /><searchLink fieldCode="AR" term="%22Zeev+Volkovich%22">Zeev Volkovich</searchLink>
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  Data: <searchLink fieldCode="DE" term="%22Cell+Biology%22">Cell Biology</searchLink><br /><searchLink fieldCode="DE" term="%22Infectious+Diseases%22">Infectious Diseases</searchLink><br /><searchLink fieldCode="DE" term="%22Biological+Sciences+not+elsewhere+classified%22">Biological Sciences not elsewhere classified</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+Sciences+not+elsewhere+classified%22">Mathematical Sciences not elsewhere classified</searchLink><br /><searchLink fieldCode="DE" term="%22Information+Systems+not+elsewhere+classified%22">Information Systems not elsewhere classified</searchLink><br /><searchLink fieldCode="DE" term="%22world+datasets+show%22">world datasets show</searchLink><br /><searchLink fieldCode="DE" term="%22unlike+traditional+methods%22">unlike traditional methods</searchLink><br /><searchLink fieldCode="DE" term="%22trained+neural+network%22">trained neural network</searchLink><br /><searchLink fieldCode="DE" term="%22dynamic+network+changes%22">dynamic network changes</searchLink><br /><searchLink fieldCode="DE" term="%22system+%26#+8217%22">system &# 8217</searchLink><br /><searchLink fieldCode="DE" term="%22minimal+communication+overhead%22">minimal communication overhead</searchLink><br /><searchLink fieldCode="DE" term="%22efficient+decentralized+clustering%22">efficient decentralized clustering</searchLink><br /><searchLink fieldCode="DE" term="%22system+adapts%22">system adapts</searchLink><br /><searchLink fieldCode="DE" term="%22clustering+structure%22">clustering structure</searchLink><br /><searchLink fieldCode="DE" term="%22clustering+accuracy%22">clustering accuracy</searchLink><br /><searchLink fieldCode="DE" term="%22xlink+">%22">xlink "></searchLink><br /><searchLink fieldCode="DE" term="%22static+topologies%22">static topologies</searchLink><br /><searchLink fieldCode="DE" term="%22paper+presents%22">paper presents</searchLink><br /><searchLink fieldCode="DE" term="%22iot+%29%22">iot )</searchLink><br /><searchLink fieldCode="DE" term="%22immediate+results%22">immediate results</searchLink><br /><searchLink fieldCode="DE" term="%22highly+suitable%22">highly suitable</searchLink><br /><searchLink fieldCode="DE" term="%22generate+compact%22">generate compact</searchLink><br /><searchLink fieldCode="DE" term="%22fly+processing%22">fly processing</searchLink><br /><searchLink fieldCode="DE" term="%22dynamical+multi%22">dynamical multi</searchLink><br /><searchLink fieldCode="DE" term="%22distributed+environments%22">distributed environments</searchLink><br /><searchLink fieldCode="DE" term="%22distributed+aggregation%22">distributed aggregation</searchLink><br /><searchLink fieldCode="DE" term="%22dimensionality+reduction%22">dimensionality reduction</searchLink><br /><searchLink fieldCode="DE" term="%22data+must%22">data must</searchLink><br /><searchLink fieldCode="DE" term="%22consistent+summaries%22">consistent summaries</searchLink><br /><searchLink fieldCode="DE" term="%22consensus+protocol%22">consensus protocol</searchLink>
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  Data: Each sample shows 1000 agents’ states mapped onto a ), together with the predicted centroids: 10 centroids for Samples 1 and 2, and 3 centroids for Sample 3.
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  Data: https://figshare.com/articles/figure/Examples_of_three_random_samples_from_the_validation_dataset_/29667951
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  Data: 10.1371/journal.pone.0327396.g001
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        Value: 10.1371/journal.pone.0327396.g001
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    Subjects:
      – SubjectFull: Cell Biology
        Type: general
      – SubjectFull: Infectious Diseases
        Type: general
      – SubjectFull: Biological Sciences not elsewhere classified
        Type: general
      – SubjectFull: Mathematical Sciences not elsewhere classified
        Type: general
      – SubjectFull: Information Systems not elsewhere classified
        Type: general
      – SubjectFull: world datasets show
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      – SubjectFull: unlike traditional methods
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      – SubjectFull: trained neural network
        Type: general
      – SubjectFull: dynamic network changes
        Type: general
      – SubjectFull: system &# 8217
        Type: general
      – SubjectFull: minimal communication overhead
        Type: general
      – SubjectFull: efficient decentralized clustering
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      – SubjectFull: system adapts
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      – SubjectFull: clustering structure
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      – SubjectFull: clustering accuracy
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      – SubjectFull: highly suitable
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      – SubjectFull: generate compact
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      – SubjectFull: fly processing
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      – SubjectFull: dynamical multi
        Type: general
      – SubjectFull: distributed environments
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      – SubjectFull: distributed aggregation
        Type: general
      – SubjectFull: dimensionality reduction
        Type: general
      – SubjectFull: data must
        Type: general
      – SubjectFull: consistent summaries
        Type: general
      – SubjectFull: consensus protocol
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      – TitleFull: Examples of three random samples from the validation dataset.
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            NameFull: Victoria Erofeeva
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            NameFull: Oleg Granichin
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              Y: 2025
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