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Clustering multivariate time series using energy distance

Journal of Time Series Analysis(2023)10.1111/jtsa.12688Source: DataRank Database

Clustering multivariate time series using energy distance is a research paper published in Journal of Time Series Analysis (2023). On theSindex it has a DataRank of 0. It has been cited 5 times.

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Open Access5 citations

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›Methodology & internals

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (2 grants)OA: bronzeTopics (20)IDs (PubMed)

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Authors (3)

Leon Fernandes,Konstantinos Fokianos ORCID,Richard A. Davis ORCID

Live enrichment

PubMed:20725694

National Science Foundation

Grant: 2015379

Collaborative Research: Extremes in High Dimensions: Causality, Sparsity, Classification, Clustering, Learning

National Institutes of Health

Grant: 1G20RR030893-01

Core Research Computing Facility

bronzeLicense: Wiley Online Library User Agreement

publisherhttps://onlinelibrary.wiley.com/doi/pdfdirect/10.1111/jtsa.12688

repositoryhttps://arxiv.org/pdf/2303.14295

https://doi.org/10.1111/jtsa.12688

https://dx.doi.org/10.48550/arxiv.2303.14295

http://arxiv.org/abs/2303.14295

Fields of Study

02 engineering and technology01 natural sciences0202 electrical engineering, electronic engineering, information engineering0101 mathematics

Keywords

FOS: Computer and information sciencesClassification and discrimination; cluster analysis (statistical aspects)Measures of association (correlation, canonical correlation, etc.)Estimation in multivariate analysisenergy distanceMethodology (stat.ME)characteristic functionTime series, auto-correlation, regression, etc. in statistics (GARCH)Inference from stochastic processesstationaritydissimilarity measuretime serieshierarchical clustering62M10, 62H30 (Primary) 62H20, 62H12 (Secondary)Statistics - Methodologyclustering