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A Bayesian classification of the IRAS LRS Atlas

Authors :
Goebel, J
Stutz, J
Volk, K
Walker, H
Gerbault, F
Self, M
Taylor, W
Cheeseman, P
Source :
Astronomy and Astrophysics. 222(1-2)
Publication Year :
1989
Publisher :
United States: NASA Center for Aerospace Information (CASI), 1989.

Abstract

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.

Subjects

Subjects :
Astrophysics

Details

Language :
English
ISSN :
00046361
Volume :
222
Issue :
1-2
Database :
NASA Technical Reports
Journal :
Astronomy and Astrophysics
Publication Type :
Report
Accession number :
edsnas.19900025897
Document Type :
Report