The website is in Maintenance mode. We are in the process of adding more features.
Any new bookmarks, comments, or user profiles made during this time will not be saved.

AIML.com

Machine Learning Resources

What is Hierarchical Clustering?

Bookmark this question

Hierarchical Clustering: This approach starts with all observations either belonging to their own cluster consisting of just that data point (agglomerative or bottom-up) or all observations belonging to one large cluster containing every data point (divisive or top-down). Clusters are formed on successive iterations by merging clusters that are most similar in the bottom-up approach or splitting those furthest apart in the top-down approach until it stabilizes at a number of clusters somewhere between 1 and the total number of observations in the dataset. 

Leave your Comments and Suggestions below:

Please Login or Sign Up to leave a comment

Partner Ad  

Find out all the ways
that you can

Explore Questions by Topics

Partner Ad

Learn Data Science with Travis - your AI-powered tutor | LearnEngine.com