A k-means procedure based on a Mahalanobis type distance for clustering multivariate functional data-Reference-Cited by-同舟云学术

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

Published:2018-11-30 Issue:2 Volume:28 Page:301-322
ISSN:1618-2510
Container-title:Statistical Methods & Applications
language:en
Short-container-title:Stat Methods Appl

Author:

Martino Andrea^ORCID,Ghiglietti Andrea,Ieva Francesca,Paganoni Anna Maria

Publisher

Springer Science and Business Media LLC

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

http://link.springer.com/content/pdf/10.1007/s10260-018-00446-6.pdf

Reference23 articles.

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3. Cerioli A (2005) K-means cluster analysis and Mahalanobis metrics: a problematic match or an overlooked opportunity? Stat Appl 17:1

4. Springer series in statistics;F Ferraty,2006

5. Galeano P, Joseph E, Lillo Rosa E (2014) The Mahalanobis distance for functional data with applications to classification. Technometrics 57(2):281–291

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