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Кластеризація біомедичної інформації

Authors: Martynenko, Serhii Serhiiovych;

Кластеризація біомедичної інформації

Abstract

This work represents main approaches to data clustering. The authors suggest a clustering algorithm in bounds of the information-extreme intelligence technology. Practical application of the obtained results is planned in the area of magnetocardiogram classification. When you are citing the document, use the following link http://essuir.sumdu.edu.ua/handle/123456789/28817

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Keywords

кластеризація, 330, биомедицинская информация, кластеризация, біомедична інформація, 004

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    popularity
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green