Visualizing Attribute Interdependencies Using Mutual Information, Hierarchical Clustering, Multidimensional Scaling, and Self-organizing Maps

2007 ◽  
Author(s):  
Derek Nazareth ◽  
Ehsan Soofi ◽  
Huimin Zhao
Keyword(s):  
Mutual Information ◽  
Multidimensional Scaling ◽  
Hierarchical Clustering ◽  
Self Organizing Maps ◽  
Self Organizing

Competition among European Tourist Cities: A Comparative Analysis with Multidimensional Scaling and Self-Organizing Maps

1995 ◽  
Vol 1 (3) ◽  
pp. 283-302 ◽  
Author(s):  
Josef A. Mazanec
Keyword(s):  
Comparative Analysis ◽  
Multidimensional Scaling ◽  
Profile Data ◽  
Self Organizing Maps ◽  
Tourist Destinations ◽  
European Cities ◽  
Som Network ◽  
Self Organizing

The tourism researcher's attention is drawn to the neurocomputing methodology of self-organizing maps (SOMs) SOMs can be used to find a radically parsimonious representation of multidimensional profile data. The properties of an SOM network are explored in a case study on the competitive relationships between European cities as tourist destinations. SOM results are compared with a conventional INDSCAL model. The database consists of the guest mix profiles of 26 major tourist cities between 1975 and 1992.

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