Cluster Analysis using Spherical SOM

  • Heizo Tokutaka
  • P. K. Kihato
  • Kikuo Fujimura
  • Masaaki Ohkita
Schlagworte: Spherical SOM, Cluster Analysis, Dendrogram, Glyph Analysis Setting, DDC: 004 (Data processing, computer science, computer systems)


A cluster analysis method is proposed in this paper. As benchmark data, the Fisher's iris and the Wine recognition data sets are used. As a result of the numerical experiment, a clustering method using the dendrogram yielded 97 % in accuracy. It is difficult to display a multi-dimensional data by the dendrogram in one dimension. The ultimate visualization is by means of 3 dimensional rendition. We conclude that the best way that a multi-dimensional data set is visualized is by a sphere, since the phase relationship of it is smooth everywhere.