Research on self-adaptive clustering algorithms for large data sparse networks based on information entropy

With the advent of the era of artificial intelligence and information technology, a large number of data and information pour into all walks of life. These data packages include many online and offline data such as text files, audio and video. However, so many data are unnecessary in real life. The...

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Veröffentlicht in:	Journal of physics. Conference series 2021-06, Vol.1941 (1), p.12041
Hauptverfasser:	Ma, Tingting, Zhang, Guanhong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Algorithms Artificial intelligence Audio data Clustering Data collection Entropy (Information theory) Image classification Image filters Image segmentation Optimization Physics
Online-Zugang:	Volltext
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