Hierarchical Clustering
Explore hierarchical clustering, a method that allows flexible cluster selection without predefining cluster numbers. Understand divisive and agglomerative strategies, how to choose stopping criteria, and distance measures for effective unsupervised data grouping.
We'll cover the following...
We'll cover the following...
Hierarchical clustering
Hierarchical clustering does not restrict the user to choose the number of the clusters before running the algorithm. Users can choose different values of K, and different clusters will be fixed. It uses the dendrogram type of formulation. When choosing a different K, the same computation will be used (no need to rerun the algorithm). We can also capture highly complex shapes of clusters. ...