Reinhold Decker and Christian Holsing and Sascha Lerke
Generating Normally Distributed Clusters by Means of a Selforganizing Growing Neural Network– An Application to Market Segmentation –
137 - 143
2008
2
2
International Journal of Economics and Management Engineering
https://publications.waset.org/pdf/13879
https://publications.waset.org/vol/14
World Academy of Science, Engineering and Technology
This paper presents a new growing neural network for
cluster analysis and market segmentation, which optimizes the size
and structure of clusters by iteratively checking them for multivariate
normality. We combine the recently published SGNN approach 8
with the basic principle underlying the Gaussianmeans algorithm
13 and the Mardia test for multivariate normality 18, 19. The new
approach distinguishes from existing ones by its holistic design and
its great autonomy regarding the clustering process as a whole. Its
performance is demonstrated by means of synthetic 2D data and by
real lifestyle survey data usable for market segmentation.
Open Science Index 14, 2008