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Teemu Suna, Mike Hardey, Jouni Huhtinen, Yrjö Hiltunen, Kimmo Kaski, Jukka Heikkonen and et al.

In this paper we utilise the self-organising map (SOM), an unsupervised neural network methodology, to explore Internet dating data.

The resulting visual maps are used to demonstrate the ability of SOMs to reveal interrelated parameters.

The SOM process led to the emergence of correlations that were obscured in the original data and pointed to the role of what we call 'cultural age' in the profiles and partnership preferences of the individuals.

Our results suggest that the SOM approach offers a well established methodology that can be easily applied to complex sociological data sets.

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