Using dendogram, we can easily specify the cutting point to determine number of clusters. For example, in the left dendogram below, we set cutting distance at 2 and we obtain two clusters out of 6 objects.
Such a structure can be graphically represented by a dendogram (or tree).
* The cluster that contains the complete data set is called the "Root" of the tree.
* Every cluster in the tree is called a "Node".
 See also: Hierarchical clustering, Clustering, Classification
  
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