Other
Scientific paper
Dec 2005
adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2005aas...207.2910b&link_type=abstract
American Astronomical Society Meeting 207, #29.10; Bulletin of the American Astronomical Society, Vol. 37, p.1213
Other
1
Scientific paper
We analyze a portion of the SDSS photometric catalog consisting of approximately 10,000 objects that have been spectroscopically classifed into stars, galaxies, QSOs, late-type stars and unknown objects in order to investigate the existence and nature of subclasses of the unknown objects. We use a modified mixture modeling approach that makes use of both labeled and unlabeled data and performs class discovery on the data set. This technique discovers potentially new object classes when a new cluster of objects is sufficiently distinct from other clusters in the data set. The new clusters are of possible scientific interest because they represent a structured group of outliers. We identify two well defined subclasses of the unknown object class. One subclass contains 58% unknown objects, 40% stars, and 2% galaxies, QSOs, and late-type stars. The other subclass contains 91% unknown objects, 6% late-type stars, and 3% stars, galaxies, and QSOs. We discuss possible interpretations of these subclasses and identify some cautionary areas for color-based object classification. As a side benefit of this limited study we also find two distinct classes, consisting largely of galaxies, that coincide with the recently discussed bimodal galaxy color distribution.
Bazell David
Miller Daniel J.
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