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.

Machine Learning Resources

What are some pros and cons of K-Means Clustering?

Bookmark this question


  • Easy to implement
  • Produces compact-shaped clusters


  • Must specify number of clusters in advance
  • Sensitive to initial choices of centroids
  • Not good at identifying clusters that don’t follow a globular shape

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 |