By Hierarchical Cluster Analysis?

Hierarchical cluster analysis (or hierarchical clustering) is a general approach to cluster analysis , in which the object is to group together objects or records that are "close" to one another. ... The two main categories of methods for hierarchical cluster analysis are divisive methods and agglomerative methods .

What is hierarchical clustering give example?

Hierarchical clustering involves creating clusters that have a predetermined ordering from top to bottom. For example, all files and folders on the hard disk are organized in a hierarchy. There are two types of hierarchical clustering, Divisive and Agglomerative.

What is produced by hierarchical clustering?

Hierarchical clustering is an alternative class of clustering algorithms that produce 1 to n clusters, where n is the number of observations in the data set. ... There are two types of hierarchical clustering: divisive (top-down) and agglomerative (bottom-up).