Why is this poster making faces at me?
These Chernoff faces are a multivariate technique of visualizing
data that relies on the human eye's ability to recognize patterns. Each
object (QSO) is represent by a face and each QSO property is represented
by a facial feature. In this sample, the facial features correspond to:
Face Width |
CIV FWHM |
Upper Face Eccentricity
|
Radio-loudness |
Lower Face Eccentricity
|
Optical Lumiosity
|
Mouth |
Optical/X-ray |
Curvature |
Spectral Index |
Nose Length |
Radio Core Fraction |
Eye Slant |
Radio Spectral Index |
Eye Height |
Optical Spectral Index |
Eye Separation |
H-beta FWHM |
The first 17 QSOs are the ones that host NALs. How do they differ from
the others? Are they happy? Are they sad? Do they scowl at you?
Rajib Ganguly
Last modified: Fri Feb 4 14:54:22 EST 2000