Age clustering approach to metabolic syndrome using spherical and torus SOM

One of the threatening trends of human health in recent years has been metabolic syndrome. Metabolic syndrome is a cluster of conditions that occur together resulting in simultaneous disorders related to ones metabolism. This paper analyses the effect age clustering has on the syndrome trends using SOM. It gives an analysis and visualization of the contributing parameter(s) to the syndrome in each cluster and then projects the overall effect the clustered SOM analysis has on the entire group of examinees. Inter-relation of the input parameters and the severity of their contribution to the syndrome risks are investigated.