Image measurement with self‐organizing maps: A tentative application to Austrian tour operators
Josef A. Mazanec
(Institute for Tourism, University of Economics and Business Administration, Augasse 2 – 6,1090 Vienna (Austria))
275
Abstract
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.
Keywords
Citation
Mazanec, J.A. (1994), "Image measurement with self‐organizing maps: A tentative application to Austrian tour operators", The Tourist Review, Vol. 49 No. 3, pp. 9-18. https://doi.org/10.1108/eb058159
Publisher
:MCB UP Ltd
Copyright © 1994, MCB UP Limited