A Bayesian classification of the IRAS LRS Atlas

Details A Bayesian classification of the IRAS LRS Atlas A Bayesian classification of the IRAS LRS Atlas

Sep 1989

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1989a%26a...222l...5g&link_type=abstract

Astronomy and Astrophysics (ISSN 0004-6361), vol. 222, no. 1-2, Sept. 1989, p. L5-L8.

Computer Science

Artificial Intelligence

35

Artificial Intelligence, Astronomical Catalogs, Bayes Theorem, Infrared Astronomy Satellite, Infrared Spectroscopy, Algorithms, Emission Spectra, Line Spectra, Spectral Bands

Scientific paper

The availability of a reclassification of the IRAS LRS Atlas of spectra using a new Bayesian classification procedure (AutoClass) is announced. The classes of objects which result from the application of the AutoClass algorithm include many of the previously known LRS classes. New classes which have interesting astronomical and astrophysical interpretations were also found. Techniques, such as the AutoClass algorithm, have a bright future in the arena of astronomical classification problems.

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