Incomplete high dimensional data streams clustering

Many recent applications such as sensor networks generate continuous and time varying data streams that are often gathered from multiple data sources with some incompleteness and high dimensionality. Clustering such incomplete high dimensional streaming data faces four constraints which are 1) data...

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Veröffentlicht in:	Journal of intelligent & fuzzy systems 2020-01, Vol.39 (3), p.4227-4243
Hauptverfasser:	Najib, Fatma M., Ismail, Rasha M., Badr, Nagwa L., Gharib, Tarek F.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Clustering Data transmission Sensitivity
Online-Zugang:	Volltext
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