Paper:	Multivariate Statistics on HI and IRAS Images
Volume:	25, Astronomical Data Analysis Software and Systems I
Page:	251
Authors:	Toth, L. Viktor; Balazs, Lajos G.; Abraham, Peter
Abstract:	A procedure based on multivariate statistical methods have been worked out, making possible the simultaneous study of multiwavelength data with large number of variables. Testing the method a data set of HI (21cm) spectra and IRAS surface brightnesses from 891 positions of a Cep-Cas region have been analysed. The 891 HI spectra were replaced by 891times 3 factor coefficients: the new coordinates in the space of the first 3 factors (as orthogonal axes) resulted by a principal component analysis (PCA). A cluster analysis have been performed in the 7 dimensional parameter space of 3 factor coefficients and 4 IRAS fluxes. Results have been compared to the previous knowledge on the area.

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