1. Hierarchical Clustering and Its Work

Applying Hierarchical Clustering: Hands-On Demonstration 

Problem statement: A U.S. oil organization needs to know its sales in various states in the United States and cluster them based on their sales. 

The steps we take are:

  1. Import the dataset 
  2. Create a scatter plot 
  3. Normalize the data
  4. Calculate Euclidean distance
  5. Create a dendrogram

Explore the Concepts of Machine Learning

Are you thinking about the next step after learning about hierarchical clustering? Since there are so many other important aspects to be covered while trying to understand machine learning, we suggest you in the Simplilearn Machine Learning Certification Course

The course covers all the machine learning concepts, from supervised learning to modeling and developing algorithms. In our course, you’ll learn the skills needed to become a machine learning engineer and unlock the power of this emerging field. Start your machine learning journey today!

Leave a Reply

Your email address will not be published. Required fields are marked *