MARKET SEGMENTATION AND CLUSTER ANALYSIS

Abstract

The objective of the research is to consider a self-organizing neural network for segmenting the tourist market. A back-propagation neural network is used to complement the segmentation by generating additional knowledge based on input–output relationship and sensitivity analyses. The findings of the self-organizing neural network indicate three clusters, which are visually confirmed by developing a comparative model based on the test data set.