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It has become apparent that models that have been applied widely ineconomics, including Machine Learning techniques and Data Mining methods,should take into consideration principles that derive from the theories ofPersonality Psychology in order to discover more comprehensive knowledgeregarding complicated economic behaviours. In this work, we present a method toextract Behavioural Groups by using simple clustering techniques that canpotentially reveal aspects of the Personalities for their members. We believethat this is very important because the psychological information regarding thePersonalities of individuals is limited in real world applications and becauseit can become a useful tool in improving the traditional models of KnowledgeEconomy.

Using Clustering to extract Personality Information from socio economic data