On the performance of two clustering methods for spatial functional data
type: Item
instance of: scholarly article
title: On the performance of two clustering methods for spatial functional data
zbMATH Open document ID: 1443.62187
author: E. Romano
author: Jorge Mateu
author: Ramón Giraldo Henao
published in: AStA. Advances in Statistical Analysis
publication date: 2018-11-12T00:00:00Z
full work available at URL: http://hdl.handle.net/10234/158955
Mathematics Subject Classification ID: 62H30
Mathematics Subject Classification ID: 62R10
Mathematics Subject Classification ID: 86A32
zbMATH DE Number: 6976313
zbMATH Keywords: clustering
zbMATH Keywords: geostatistics
zbMATH Keywords: salinity
zbMATH Keywords: spatial functional data
zbMATH Keywords: trace-variogram function
describes a project that uses: geofd
describes a project that uses: fda (R)
MaRDI profile type: Publication
OpenAlex ID: W1918821378
cites work: Q4765877
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cites work: Statistics for functional data
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cites work: Functional data clustering: a survey
cites work: Functional data analysis.
cites work: Clustering functional data
DOI: 10.1007/S10182-015-0253-9
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description: scientific article; zbMATH DE number 6976313