A New Approach For Exploring Multivariate Data

Self-organising maps

Timothy Bock
University of New South Wales


The importance of exploratory data analysis as a means of gaining insights and ensuring the correct specification of statistical models has long been recognised (Ehrenberg 1975; Tukey 1977). Its employment in 'data mining' has seen exploratory data analysis become an integral part of modern quantitative marketing practice. The large numbers of variables we commonly employ in marketing applications presents a great challenge, as the problem of how to best describe multivariate data is far from being well understood.