HIERARCHICAL CLUSTERING

In machine learning, the method of grouping unlabeled data is called clustering. This involves segmenting data with similar characteristics into distinct groups. It is used to ascertain meaningful insights from unlabelled data. An example is, Streaming services such as Youtube and Netflix use clustering analysis to identify viewers who have similar behavior. They collect information such as the minutes watched per day, total viewing sessions per week, and the number of unique shows viewed per month. With this information, a streaming service can perform a cluster analysis to determine high and low usage subscribers. This will influence which subscribers they can spend most of their advertisement money on.

In this blog, we will be exploring the hierarchical clustering technique of unsupervised learning.

Hierarchical Clustering.

Hierarchical clustering is a technique