Hierarchical Clustering is the type of clustering which creates a tree structure.
There are two type of HC:
1. Hierarchical Agglomerative Clustering : (Going up the tree)
-Start with K(=N) clusters where N is total number of data points.
-At each step compute pairwise distance between each all pts, group the points closer to each other.
-Repeat until K=1.
2. Hierarchical Divisive Clustering : (Going down the tree)
-Start with K=1 cluster.
-It is similar to bisecting k-means.
-Rashmi Dubey.
