Prediction of spectral classification from photometric data. Application to the MK spectral classification and the Geneva photometric system

Details Prediction of spectral classification from photometric data. Application to the MK spectral classification and the Geneva photometric system Prediction of spectral classification from photometric data. Application to the MK spectral classification and the Geneva photometric system

Nov 1983

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1983esasp.201..149e&link_type=abstract

In ESA Statist. Methods in Astron. p 149-150 (SEE N84-19196 09-89)

Astronomy and Astrophysics

Astronomy

1

Astronomical Catalogs, Factor Analysis, Stellar Spectra, Stellar Spectrophotometry, Galactic Clusters, Regression Analysis, Ultraviolet Spectra

Scientific paper

Statistical methods in prediction of MK classification from photometric
indices (Geneva system) are reviewed. Principal component analysis of
photometric data, clustering around moving centers, and multiple
stepwise regression techniques are discussed.

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