A Novel Multi-Granularity Clustering Algorithm Based on Grid Partition and Fuzzy Quotient Space

Clustering is a significant technique in data mining, which can uncover the hidden correlation information and obtain deeper understanding of the inherent structure of data. However, when dealing with the data with extremely uneven density and increasingly complex structure, most current clustering...

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Vydáno v:	IEEE transactions on fuzzy systems s. 1 - 13
Hlavní autoři:	Zhou, Xinran, Zhang, Qinghua, Zhao, Fan, Wang, Yutai, Yin, Longjun, Wang, Guoyin
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2025
Témata:	Clustering algorithms Clustering methods Computational modeling Data mining Fuzzy quotient space Granular computing grid partition hierarchical structure Kernel Merging multi-granularity clustering Partitioning algorithms Telecommunications Trees (botanical)
ISSN:	1063-6706, 1941-0034
On-line přístup:	Získat plný text
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