Hierarchical similarity measure for spectral clustering

dc.contributor.author	Sibemberg, Lucas Siviero	pt_BR
dc.contributor.author	Allem, Luiz Emílio	pt_BR
dc.contributor.author	Hoppen, Carlos	pt_BR
dc.date.accessioned	2023-04-19T03:24:35Z	pt_BR
dc.date.issued	2022	pt_BR
dc.identifier.issn	2359-0793	pt_BR
dc.identifier.uri	http://hdl.handle.net/10183/257170	pt_BR
dc.format.mimetype	application/pdf	pt_BR
dc.language.iso	por	pt_BR
dc.relation.ispartof	Congresso Nacional de Matemática Aplicada e Computacional (41. : 2022 : Campinas, SP). Proceeding series of the Brazilian Society of Computational and Applied Mathematics. São Carlos : SBMAC, 2022.	pt_BR
dc.rights	Open Access	en
dc.subject	Data science	en
dc.subject	Teoria do grafo espectral	pt_BR
dc.subject	Matriz de similaridade	pt_BR
dc.subject	Clustering	en
dc.subject	Spectral graph theory	en
dc.subject	Cluster	pt_BR
dc.subject	Algoritmos	pt_BR
dc.subject	Spectral clustering	en
dc.subject	Similarity measure	en
dc.title	Hierarchical similarity measure for spectral clustering	pt_BR
dc.type	Trabalho completo publicado em evento	pt_BR
dc.contributor.event	Congresso Nacional de Matematica Aplicada e Computacional (41. : 2022 : Campinas, SP)	pt_BR
dc.identifier.nrb	001159233	pt_BR
dc.type.origin	Nacional	pt_BR

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