Clustering Cities over Features Extracted from Multiple Virtual Sensors Measuring Micro-Level Activity Patterns Allows One to Discriminate Large-Scale City Characteristics.

Muñoz-Cancino, Ricardo; Ríos, Sebastián A; Graña, Manuel

Muñoz-Cancino, Ricardo; Ríos, Sebastián A; Graña, Manuel.

Afiliação

Muñoz-Cancino R; Computational Intelligence Group, University of Basque Country, 20018 San Sebastián, Spain.
Ríos SA; Business Intelligence Research Center (CEINE), Department of Industrial Engineering, University of Chile, Beauchef 851, Santiago 8370456, Chile.
Graña M; Computational Intelligence Group, University of Basque Country, 20018 San Sebastián, Spain.

Sensors (Basel) ; 23(11)2023 May 29.

Article em En | MEDLINE | ID: mdl-37299891

Assuntos

Meios de Transporte; Humanos; Cidades; Análise por Conglomerados; Fatores de Tempo

Palavras-chave

City Innovation Index; activity patterns; clustering models; geotagged data

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Meios de Transporte Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

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