Session 2 Multivariate Clustering and Classification
نویسنده
چکیده
We illustrate unsupervised clustering algorithms using a twodimensional color-magnitude diagram constructed from the COMBO-17 (`Classifying Objects by Medium-Band Observations in 17 Filters') photometric survey of normal galaxies (Wolf et al. 2003). The R script below starts with the which function to filter the dataset, keeping only low-redshift galaxies with z < 0.3 and remove a few points with bad data values. Most of the original 65 variables are ignored, and we keep only the galaxy absolute magnitude in the blue band, M_B, and the ultraviolet-to-blue color index, M_{280 M_B. The resulting color-magnitude diagram ( left panel) shows the wellknown concentrations of luminous red galaxies around (M_B,M_{280M_B) \simeq (-16,-0.2) and fainter blue galaxies around (-13,-0.9).
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