Clustering daily patterns of human activities in the city

DOI10.1007/s10618-012-0264-zzbMath1260.91211OpenAlexW2088722350MaRDI QIDQ1945003

Joseph Ferreira, Shan Jiang, Marta C. González

Publication date: 28 March 2013

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/1721.1/88202

zbMATH Keywords

statistical learningdaily activity clusteringeigen decompositionhuman activitymetropolitan area

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Models of societies, social and urban evolution (91D10)

Related Items (1)

Routine pattern discovery and anomaly detection in individual travel behavior

Uses Software

• Silhouettes
• ElemStatLearn
• UrbanSim
• PRMLT

Cites Work

• Unnamed Item
• Model-based evaluation of clustering validation measures
• Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
• Principal component analysis.
• Limits of Predictability in Human Mobility
• On clustering validation techniques
• A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters

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