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A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data.

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Title: A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data.
Authors: Martino, Andrea1, andrea.martino@polimi.it, Ghiglietti, Andrea2, andrea.ghiglietti@livanova.com, Ieva, Francesca1, francesca.ieva@polimi.it, Paganoni, Anna Maria1, anna.paganoni@polimi.it
Source: Statistical Methods & Applications; Jun2019, Vol. 28 Issue 2, p301-322, 22p
Database: Applied Science & Technology Source
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Header DbId: aci
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  Data: A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data.
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  Data: <searchLink fieldCode="AU" term="%22Martino%2C+Andrea%22">Martino, Andrea</searchLink><relatesTo>1</relatesTo>, <i>andrea.martino@polimi.it</i><br /><searchLink fieldCode="AU" term="%22Ghiglietti%2C+Andrea%22">Ghiglietti, Andrea</searchLink><relatesTo>2</relatesTo>, <i>andrea.ghiglietti@livanova.com</i><br /><searchLink fieldCode="AU" term="%22Ieva%2C+Francesca%22">Ieva, Francesca</searchLink><relatesTo>1</relatesTo>, <i>francesca.ieva@polimi.it</i><br /><searchLink fieldCode="AU" term="%22Paganoni%2C+Anna+Maria%22">Paganoni, Anna Maria</searchLink><relatesTo>1</relatesTo>, <i>anna.paganoni@polimi.it</i>
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RecordInfo BibRecord:
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        Value: 10.1007/s10260-018-00446-6
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      – Code: eng
        Text: English
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      – TitleFull: A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data.
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              Text: Jun2019
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              Y: 2019
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              Value: 28
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