[en] A MODEL-BASED FRAMEWORK FOR SEMI-SUPERVISED CLUSTERING AND COMMUNITY DETECTION

[en] A MODEL-BASED FRAMEWORK FOR SEMI-SUPERVISED CLUSTERING AND COMMUNITY DETECTION

[pt] Em clusterização baseada em modelos, o objetivo é separar amostras de dados em grupos significativos, otimizando a aderência dos dados observados a um modelo matemático. A recente adoção de clusterização baseada em modelos tem permitido a profissionais e usuários mapearem padrões complexos nos...

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Bibliographic Details
Other Authors:	THIBAUT VICTOR GASTON VIDAL
Language:	en
Published:	MAXWELL 2021
Subjects:	[pt] APRENDIZADO DE MAQUINA [pt] MODELOS DE BLOCOS ESTOCASTICOS [pt] AGRUPAMENTO SEMISSUPERVISIONADO [pt] DETECCAO DE COMUNIDADES [pt] AGRUPAMENTO [pt] OTIMIZACAO [pt] MINERACAO DE DADOS [en] MACHINE LEARNING [en] STOCHASTICK BLOCK MODELS [en] SEMISUPERVISED CLUSTERING [en] COMMUNITY DETECTION [en] GROUPING [en] OPTIMIZATION [en] DATA MINING
Online Access:	https://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=54595@1 https://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=54595@2 http://doi.org/10.17771/PUCRio.acad.54595

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