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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Bibliographic Details

Published in:	2024 IEEE 3rd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA) pp. 544 - 549
Main Author:	Yang, Han
Format:	Conference Proceeding
Language:	English
Published:	IEEE 27.02.2024
Subjects:	Big Data Clustering algorithms Clustering methods data partitioning density-sensitive similarity distributed parallelizatlon Electrical engineering Euclidean distance Learning systems Partitioning algorithms Spectral clustering
Online Access:	Get full text
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