Clustering and Registration of Multidimensional Functional Data

Giada Adelfio; Dario Luzio; Marcello Chiodi; Antonino D'Alessandro; null D'Alessandro; null D'Alessandro; null D'Alessandro; null D'Alessandro

Clustering and Registration of Multidimensional Functional Data

Giada Adelfio, Dario Luzio, Marcello Chiodi, Antonino D'Alessandro, D'Alessandro, D'Alessandro, D'Alessandro, D'Alessandro

Risultato della ricerca: Chapter

3 Citazioni (Scopus)

Abstract

In order to find similar features between multidimensional curves, we considerthe application of a procedure that provides a simultaneous assignation andalignment of such functions. In particular we look for clusters of multivariate seismicwaveforms based on EM-type procedure and functional data analysis tools.

Lingua originale	English
Titolo della pubblicazione ospite	Statistical Models for Data Analysis
Pagine	89-97
Numero di pagine	9
Stato di pubblicazione	Published - 2013

Serie di pubblicazioni

Nome	STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

All Science Journal Classification (ASJC) codes

Computer Science Applications
Information Systems
Information Systems and Management
Analysis

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title = "Clustering and Registration of Multidimensional Functional Data",

abstract = "In order to find similar features between multidimensional curves, we considerthe application of a procedure that provides a simultaneous assignation andalignment of such functions. In particular we look for clusters of multivariate seismicwaveforms based on EM-type procedure and functional data analysis tools.",

author = "Giada Adelfio and Dario Luzio and Marcello Chiodi and Antonino D'Alessandro and D'Alessandro and D'Alessandro and D'Alessandro and D'Alessandro",

year = "2013",

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TY - CHAP

T1 - Clustering and Registration of Multidimensional Functional Data

AU - Adelfio, Giada

AU - Luzio, Dario

AU - Chiodi, Marcello

AU - D'Alessandro, Antonino

AU - D'Alessandro, null

PY - 2013

Y1 - 2013

N2 - In order to find similar features between multidimensional curves, we considerthe application of a procedure that provides a simultaneous assignation andalignment of such functions. In particular we look for clusters of multivariate seismicwaveforms based on EM-type procedure and functional data analysis tools.

AB - In order to find similar features between multidimensional curves, we considerthe application of a procedure that provides a simultaneous assignation andalignment of such functions. In particular we look for clusters of multivariate seismicwaveforms based on EM-type procedure and functional data analysis tools.

UR - http://hdl.handle.net/10447/85443

M3 - Chapter

SN - 978-3-319-00031-2

T3 - STUDIES IN CLASSIFICATION, DATA ANALYSIS, AND KNOWLEDGE ORGANIZATION

SP - 89

EP - 97

BT - Statistical Models for Data Analysis

ER -