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 the effect of minimizing the within-cluster sum of squares on the shapes of clusters produced in K-Means?

Bookmark this question

Using an objective function that minimizes the within-cluster sum of squares (WCSS) causes K-Means to produce spherically shaped clusters. If it makes sense to find globular clusters within the data, K-Means performs quite well and is an appropriate way to cluster it; however, if it makes more sense to find elliptical clusters or irregularly-shaped clusters in higher-dimensional space, K-Means is usually not the best choice. 

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