Astronomy and Astrophysics – Astrophysics
Scientific paper
2007-06-29
Astronomy and Astrophysics
Astrophysics
To appear in the Proceedings of the "1st Workshop of Astronomy and Astrophysics for Students" - Naples, 19-20 April 2006
Scientific paper
Modern photometric multiband digital surveys produce large amounts of data that, in order to be effectively exploited, need automatic tools capable to extract from photometric data an objective classification. We present here a new method for classifying objects in large multi-parametric photometric data bases, consisting of a combination of a clustering algorithm and a cluster agglomeration tool. The generalization capabilities and the potentialities of this approach are tested against the complexity of the Sloan Digital Sky Survey archive, for which an example of application is reported.
d'Abrusco Raffaele
de Filippis Elisabetta
Longo Giuseppe
Paolillo Maruizio
Staiano A.
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