Mapping the Similarities of Spectra: Global and Locally-biased Approaches to SDSS Galaxy Data

13 Sep 2016David LawlorTamás BudaváriMichael W. Mahoney

We apply a novel spectral graph technique, that of locally-biased semi-supervised eigenvectors, to study the diversity of galaxies. This technique permits us to characterize empirically the natural variations in observed spectra data, and we illustrate how this approach can be used in an exploratory manner to highlight both large-scale global as well as small-scale local structure in Sloan Digital Sky Survey (SDSS) data... (read more)

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