consensusclustering is a python implementation of the Consensus Clustering
algorithm for finding the optimal number of clusters by means of clustering
stability under resampling, as originally proposed by Monti et al. Consensus
Clustering: A Resampling-Based Method for Class Discovery and Visualization of Gene
Expression Microarray Data (2003).
consensusclustering can be installed from PyPi using pip:
pip install consensusclusteringSee the 'examples' directory for a detailed overview of the package's functionality.
consensusclustering is licensed under the MIT license, is free to use, and comes with no warranty whatsoever.