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Using Clustering to Extract Personality Information from Socio Economic Data
2012
Social Science Research Network
It has become apparent that models that have been applied widely in economics, including Machine Learning techniques and Data Mining methods, should take into consideration principles that derive from the theories of Personality Psychology in order to discover more comprehensive knowledge regarding complicated economic behaviours. In this work, we present a method to extract Behavioural Groups by using simple clustering techniques that can potentially reveal aspects of the Personalities for
doi:10.2139/ssrn.2829227
fatcat:plg533uvhrgnhmp5wlnfp4mvxu