Steps toward a classifier for the Virtual Observatory. I. Classifying the SDSS photometric archive

摘要

Modern photometric multiband digital surveys produce large amounts of datathat, in order to be effectively exploited, need automatic tools capable toextract from photometric data an objective classification. We present here anew method for classifying objects in large multi-parametric photometric databases, consisting of a combination of a clustering algorithm and a clusteragglomeration tool. The generalization capabilities and the potentialities ofthis approach are tested against the complexity of the Sloan Digital Sky Surveyarchive, for which an example of application is reported.