Decision table for classifying point sources based on FIRST and 2MASS databases

Details Decision table for classifying point sources based on FIRST and 2MASS databases Decision table for classifying point sources based on FIRST and 2MASS databases

2007-08-31

arxiv.org/abs/0708.4273v1

Adv.Space Res.41:1949-1954,2008

Astronomy and Astrophysics

Astrophysics

10 pages. accepted by Advances in Space Research

Scientific paper

10.1016/j.asr.2007.07.019

With the availability of multiwavelength, multiscale and multiepoch astronomical catalogues, the number of features to describe astronomical objects has increases. The better features we select to classify objects, the higher the classification accuracy is. In this paper, we have used data sets of stars and quasars from near infrared band and radio band. Then best-first search method was applied to select features. For the data with selected features, the algorithm of decision table was implemented. The classification accuracy is more than 95.9%. As a result, the feature selection method improves the effectiveness and efficiency of the classification method. Moreover the result shows that decision table is robust and effective for discrimination of celestial objects and used for preselecting quasar candidates for large survey projects.

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