Visualizing Hierarchical Clustering in Iterated Logarithmic Scales
Sung-Hyuk Cha · 2009
Clustering data has been of great interest to many researchers. Hierarchical clustering methods have been preferred because clusters can be visualized as a dendrogram. One of the problems of hierarchical clustering methods, however, is that the resulting dendrogram is not visually pleasing due to the scaling problem. Hence, a series of iterated logarithmic function is proposed so as to mitigate the scaling problem. Theoretical properties of the iterated logarithmic function are presented. I.