Title: Robust clustering of trade data with thinning processes
Authors: PERROTTA DomenicoCERIOLI AndreaTORTI Francesca
Citation: CLADAG 2011 - Book of Abstracts- 8th Scientifing Meeting of the CLAssification and Data Analysis Group of the Italian Statistical Society
Publisher: Pavia University Press - Editoria Scientifica
Publication Year: 2011
JRC N°: JRC67736
ISBN: 978-88-96764-22-0
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC67736
Type: Articles in periodicals and books
Abstract: We address clustering issues in presence of densely populated data points, exhibiting linear structures with high degree of overlapping. To avoid the disturbing effects of high dense areas, we retain (and then cluster) a sample of data with a process preserving the general structure of the data. The problem is approached as a spatial point process. An intensity function and a thinning process to select the sub-sample for the clustering are derived for the analysis of the EU trade data.
JRC Directorate:Space, Security and Migration

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