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 is Bi-Clustering? What are possible use cases of it?

Bookmark this question

Bi-Clustering, or Co-Clustering, is an extension of the clustering approaches discussed that seeks to simultaneously perform clustering both within the observations and columns of a dataset. A situation where Co-Clustering is often applied is genetic research, where data consists of a number of patient samples (observations) and also many gene expressions (columns) for each patient. In such a scenario, groupings can be discovered through a combination of the rows and columns of the data. One advantage Co-Clustering offers is the ability to discover patterns from only a subset of the full feature space. 

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 |