Hierarchical Clustering
It constructs a binary tree of the data that consecutively combines related ensembles of points.  The graphical representation of the resultant hierarchy is a tree-structured graph named dendrogram. Visualizing this tree serves an extremely valuable summary of the data.
Goals:
Degree of similarity or dissimilarity between the individual objects being clustered.
BrandIdea’s Implementation:
Socio-Economic Classification