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Automated Classification of Stellar Spectra: Where Are We Now

von Hippel, T. and Storrie-Lombardi, L. J. and Irwin, M. J. (1994) Automated Classification of Stellar Spectra: Where Are We Now. In: The MK Process at 50 Years: A Powerful Tool for Astrophysical Insight. ASP Conference Series. No.60. Astronomical Society of the Pacific , San Francisco, CA, pp. 289-302. ISBN 0-937707-79-1. https://resolver.caltech.edu/CaltechAUTHORS:20170328-112739490

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Abstract

We briefly review the work of the past decade on automated classification of stellar spectra and discuss techniques which show particular promise. Emphasis is placed on Artificial Neural Network and Principle Component Analysis based techniques, due both to our greater familiarity with these and to their rising popularity. As an example of the abilities of current techniques we report on our automated classification work based on the visual classifications of N. Houk (Michigan Spectral Catalogue, Vol. 1 - 4, 1975, 1978, 1982, 1988).


Item Type:Book Section
Related URLs:
URLURL TypeDescription
http://adsabs.harvard.edu/abs/1994ASPC...60..289VADSArticle
ORCID:
AuthorORCID
Storrie-Lombardi, L. J.0000-0002-5987-5210
Additional Information:© 1994 Astronomical Society of the Pacific. It is a pleasure to thank Nancy Houk for her considerable efforts in helping us begin this program and for loaning us the plate material. We had assistance with numerical techniques from Geraint Lewis and Derek Richardson. We thank Ofer Lahav for very useful discussions.
Series Name:ASP Conference Series
Issue or Number:60
Record Number:CaltechAUTHORS:20170328-112739490
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20170328-112739490
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:75478
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:28 Mar 2017 19:27
Last Modified:03 Oct 2019 16:50

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