Cluster Analysis using Spherical SOM

Abstract

A cluster analysis method is proposed in this paper. As benchmark data, the Fisher's iris dataset and Wine recognition data were used. As a result of the numerical experiment, a clustering method by the dendrogram took 97 % in accuracy. It is difficult to display a multi-dimensional data by the dendrogram in the one dimension. The ultimate of the visualization is 3 dimensional expressions. We can conclude that it should be the best way that a multi-dimensional data is expressed by a sphere where the phase relationship is smooth.