Title: Data Analysis of Non-standard Time Series: The role of graph Laplacians and covariance matrices in data and processes of complex systems.
Publisher: Publications Office of the European Union
Publication Year: 2016
JRC N°: JRC103730
ISBN: 978-92-79-63459-8 (print)
978-92-79-63458-1 (pdf)
ISSN: 1018-5593 (print)
1831-9424 (online)
Other Identifiers: EUR 28191 EN
OP LB-NA-28191-EN-C (print)
OP LB-NA-28191-EN-N (online)
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC103730
DOI: 10.2788/657170
Type: EUR - Scientific and Technical Research Reports
Abstract: In this report we provide an informal mathematical introduction to the use of some methods from graph theory for the data analysis of non-standard time series. By this we mean information from a channel that is not presented to us in the usual format as a regular sequence of numbers. In particular we are interested in the role of the Laplacian matrix operator in helping us to understand the underlying structure and meaning of information generated from a wide range of sources....
JRC Directorate:Space, Security and Migration

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