Research on Distributed Parallelization of Improved Spectral Clustering Algorithm for Big Data

In the field of data mining, clustering algorithms play a key role in extracting valuable insights from vast datasets without incorporating learning mechanisms. One such classical clustering approach is the spectral clustering algorithm. This algorithm effectively converts a clustering challenge int...

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Vydané v:	2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) s. 544 - 549
Hlavný autor:	Yang, Han
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 27.02.2024
Predmet:	Big Data Clustering algorithms Clustering methods data partitioning density-sensitive similarity distributed parallelizatlon Electrical engineering Euclidean distance Learning systems Partitioning algorithms Spectral clustering
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