Course Summary

You should now be able to:

  • Define clustering for ML applications.
  • Discuss best practices and considerations when choosing to use clustering.
  • Follow the clustering workflow.
  • Employ the k-means algorithm to solve for clustering needs.
  • Compare popular clustering approaches.

Send feedback about...

Clustering in Machine Learning