Abstract
The automatic classification of objects from catalogues or other sources of data is a common statistical problem in many astronomical surveys. We describe an effective method, Random Forests, in which votes for class membership are polled from a large random ensemble of tree classifiers. This procedure is illustrated by the problem of identifying quasars from the FIRST survey.
Author
Breiman, Leo; Last, Michael; Rice, John
Journal
In: Statistical challenges in astronomy. Third Statistical Challenges in Modern Astronomy
Paper Publication Date
2003
Paper Type
Astrostatistics