Comparison of spherical SOM learning results and dendrogram display

Abstract

Dendrogram is used for cluster classification. Using this classification, the spherical surface was colored with the clusters. Thus, the misclassification becomes clearer on the sphericalsurface. There was no misclassification in vital data for 25 people. However, with 399 people vitaldata, there were misclassification of 8 labels. The misclassification of the 7 labels could beunderstood by distance using these input data. For the remaining one, the distance was computedusing the codebook vector of learned scod. In this way, the reason for the misclassificationbecame clearer.