Clustering daily patterns of human activities in the city
type: Item
instance of: scholarly article
title: Clustering daily patterns of human activities in the city
zbMATH Open document ID: 1260.91211
author: Shan Jiang
author: Joseph Ferreira
author: Marta C. González
published in: Data Mining and Knowledge Discovery
publication date: 2013-03-28T00:00:00Z
full work available at URL: http://hdl.handle.net/1721.1/88202
Mathematics Subject Classification ID: 91D10
Mathematics Subject Classification ID: 62H30
zbMATH DE Number: 6149259
zbMATH Keywords: human activity
zbMATH Keywords: eigen decomposition
zbMATH Keywords: daily activity clustering
zbMATH Keywords: metropolitan area
zbMATH Keywords: statistical learning
describes a project that uses: UrbanSim
describes a project that uses: ElemStatLearn
describes a project that uses: Silhouettes
describes a project that uses: PRMLT
MaRDI profile type: Publication
OpenAlex ID: W2088722350
cites work: Model-based evaluation of clustering validation measures
cites work: A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
cites work: Q3059475
cites work: On clustering validation techniques
cites work: Principal component analysis.
cites work: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis
cites work: Limits of Predictability in Human Mobility
DOI: 10.1007/S10618-012-0264-Z
description: scientific article; zbMATH DE number 6149259