Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions

1 code implementation • JMLR 2002 • Alexander Strehl, Joydeep Ghosh

We evaluate the effectiveness of cluster ensembles in three qualitatively different application scenarios: (i) where the original clusters were formed based on non-identical sets of features, (ii) where the original clustering algorithms worked on non-identical sets of objects, and (iii) where a common data-set is used and the main purpose of combining multiple clusterings is to improve the quality and robustness of the solution.

Clustering Combinatorial Optimization +1