Astronomy and Astrophysics – Astronomy
Scientific paper
Nov 2001
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001spie.4477...11k&link_type=abstract
Proc. SPIE Vol. 4477, p. 11-19, Astronomical Data Analysis, Jean-Luc Starck; Fionn D. Murtagh; Eds.
Astronomy and Astrophysics
Astronomy
Scientific paper
In this paper, we describe the use of data mining techniques to search for radio-emitting galaxies with a bent-double morphology. In the past, astronomers from the FIRST (Faint Images of the Radio Sky at Twenty-cm) survey identified these galaxies through visual inspection. This was not only subjective but also tedious as the on-going survey now covers 8000 square degrees, with each square degree containing about 90 galaxies. In this paper, we describe how data mining can be used to automate the identification of these galaxies. We discuss the challenges faced in defining meaningful features that represent the shape of a galaxy and our experiences with ensembles of decision trees for the classification of bent-double galaxies.
Cantu-Paz Erick
Fodor Imola K.
Kamath Chandrika
Tang Nu A.
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