Hierarchical clustering algorithm based on Crystallized neighborhood graph for identifying complex structured datasets

In data mining, the neighborhood graph is an important method for describing the distribution of datasets. However, existing neighborhood graph methods are often sensitive to parameters settings and the presence of outliers. These traditional neighborhood graphs typically necessitate one or more inp...

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Vydáno v:	Expert systems with applications Ročník 265; s. 125714
Hlavní autoři:	Chen, Zhongshang, Feng, Ji, Yang, Degang, Cai, Fapeng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.03.2025
Témata:	Clustering Crystallized neighborhood graph Data mining Merging strategy of sub-graphs Weight shared natural neighborhood graph Crystallized neighborhood graph Weight shared natural neighborhood graph Clustering Data mining Merging strategy of sub-graphs
ISSN:	0957-4174
On-line přístup:	Získat plný text
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