Cluster Analysis of Time Series via Kendall Distribution View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2015

AUTHORS

Fabrizio Durante , Roberta Pappadà

ABSTRACT

We present a method to cluster time series according to the calculation of the pairwise Kendall distribution function between them. A case study with environmental data illustrates the introduced methodology.

PAGES

209-216

Book

TITLE

Strengthening Links Between Data Analysis and Soft Computing

ISBN

978-3-319-10764-6
978-3-319-10765-3

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-10765-3_25

DOI

http://dx.doi.org/10.1007/978-3-319-10765-3_25

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053722775


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