An Efficient Spectral Clustering Algorithm Based on Granular-Ball

In order to solve the problem that the traditional spectral clustering algorithm is time-consuming and resource consuming when applied to large-scale data, resulting in poor clustering effect or even unable to cluster, this paper proposes a spectral clustering algorithm based on granular-ball(GBSC)....

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Vydané v:	IEEE transactions on knowledge and data engineering Ročník 35; číslo 9; s. 9743 - 9753
Hlavní autori:	Xie, Jiang, Kong, Weiyu, Xia, Shuyin, Wang, Guoyin, Gao, Xinbo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.09.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Approximation algorithms Clustering Clustering algorithms Clustering methods Datasets granular computing granular-ball Machine learning algorithms Matrix decomposition Partitioning algorithms Similarity spectral clustering Time complexity
ISSN:	1041-4347, 1558-2191
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