Image measurement with self‐organizing maps: A tentative application to Austrian tour operators
Josef A. Mazanec · Tourism Review · 1994
Image analysis faces data reduction problems when deriving low‐dimensional image spaces (‘perceptual maps’) from multidimensional profile data. The neurocomputing methodology of Self‐Organizing Maps may contribute to finding a radically parsimonious representation. The principles of SOM methodology are shown in a case study on the company images of nine Austrian tour operators.