Title
Cluster Analysis of Time Series via Kendall Distribution
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.
Year
DOI
Venue
2014
10.1007/978-3-319-10765-3_25
STRENGTHENING LINKS BETWEEN DATA ANALYSIS AND SOFT COMPUTING
Keywords
Field
DocType
Cluster analysis,Copula,Kendall distribution,Tail dependence
Statistical physics,Pairwise comparison,Tail dependence,Computer science,Copula (linguistics),Environmental data,Statistics,Distribution function
Conference
Volume
ISSN
Citations 
315
2194-5357
0
PageRank 
References 
Authors
0.34
3
2
Name
Order
Citations
PageRank
Fabrizio Durante139159.28
Roberta Pappadà2172.44