Statistical classification of IUE stellar spectra by the Variable Procrustean Bed (VPB) approach

Details Statistical classification of IUE stellar spectra by the Variable Procrustean Bed (VPB) approach Statistical classification of IUE stellar spectra by the Variable Procrustean Bed (VPB) approach

Jul 1984

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1984esasp.218..257h&link_type=abstract

In ESA Fourth European IUE Conf. p 257-261 (SEE N84-35135 24-88)

Computer Science

2

Algorithms, Classifications, Multivariate Statistical Analysis, Stellar Spectra, Ultraviolet Spectra, Iue, Red Shift, Stellar Radiation, Weighting Functions

Scientific paper

Various statistical algorithms have been applied to a set of stellar low-dispersion IUE spectra in order to derive objective spectral-classification schemes in the UV. In what the authors call the variable procrustean bed (VPB) approach, the shape of the continuum, together with the most important emission and absorption features are taken into account to define distances in an adequate multivariate space. Principal-component and cluster analysis algorithms are then applied to construct groups of stars which, together with the statistically most significant spectral features, are compared respectively with the existing classification frames and rules.

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