A reassessment of consensus clustering for class discovery
Yasin Şenbabaoğlu, George Michailidis, Jun Z Li
This paper reassesses consensus clustering's performance in class discovery, finding it can produce strong evidence of clusters in datasets with no structure and recommending caution in its use.
bioRxiv · Mar 11, 2014Bioinformatics