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...

Full description

Bibliographic Details

Published in:	Expert systems with applications Vol. 265; p. 125714
Main Authors:	Chen, Zhongshang, Feng, Ji, Yang, Degang, Cai, Fapeng
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 15.03.2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!