Detecting price outliers in European trade data with the forward search.

We describe empirical work in the domain of clustering and outlier detection, for the analysis of European trade data. It is our first attempt to evaluate benefits and limitations of the forward search approach for regression and multivariate analysis [2, 3], within a concrete application scenario and in relation to a comparable backward method developed in the JRC by [1]. Our findings suggest that the automatic clustering based on Mahalanobis distances may be inappropriate in presence of a high-density area in the dataset. Follow up work is discussed extensively in elsewere [7].

PERROTTA Domenico;  TORTI Francesca; 

2010-01-14

Springer

JRC40853

978-3-642-03738-2,   

https://publications.jrc.ec.europa.eu/repository/handle/JRC40853,   

10.1007/978-3-642-03739-9,