This paper proposes an unsupervised classification algorithm for Lorenz curves. It extends the density based multivariate cluster approach to the functional framework. In particular, the modes of the small-ball probability are used as starting points to build the clusters. The method is applied to an economic dataset.
A clustering method for economic aggregates by using concentration curves
AMIGHINI, Alessia;BONGIORNO, Enea Giuseppe;GOIA, Aldo
2014-01-01
Abstract
This paper proposes an unsupervised classification algorithm for Lorenz curves. It extends the density based multivariate cluster approach to the functional framework. In particular, the modes of the small-ball probability are used as starting points to build the clusters. The method is applied to an economic dataset.File in questo prodotto:
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