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 are some of the pros and cons of GMMs?

Bookmark this question

Pros:

  • Has the ability to find more local clusters that K-Means would not be able to differentiate when there is a lot of overlap from a global view
  • Provides probability estimates of belonging to each cluster (soft clustering)
  • Increased flexibility provided by having ability to specify covariance structure

Cons:

  • Not guaranteed to converge to global optimum, meaning that if algorithm is run multiple times on the same data set with the same number of components, the cluster assignments might be different (as with K-Means)

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