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What is Hierarchical Clustering?

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.
What is Hierarchical Clustering?

Hierarchical clustering is an unsupervised learning algorithm that is based on clustering data based on hierarchical ordering. Recall that clustering is an algorithm that groups data points within multiple clusters such that data within each cluster are similar to each other while clusters are different from each other.

Hierarchical clustering can be classified into the following two different types of clustering:

  • Agglomerative (bottom-up) hierarchical clustering
  • Divisive (top-down) hierarchical clustering
Hierarchical Clustering Algorithm Python! - Analytics Vidhya
In this article, we’ll look at a different approach to K Means clustering called Hierarchical Clustering. Let’s explore it further.
https://www.analyticsvidhya.com/blog/2021/08/hierarchical-clustering-algorithm-python/

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