A hierarchical document clustering method based on frequent itemsets
Publication:
B. C. M. Fung, K. Wang, and M. Ester. Hierarchical document clustering using frequent itemsets. In Proceedings of the 3rd SIAM International Conference on Data Mining (SDM), pages 59-70, San Francisco, CA: SIAM, May 2003. [ full paper | acceptance ratio: 19.8% = 21/106 ]
Disclaimer:
The software is provided as-is with no warranty or support. We do not take any responsibility for any damage, loss of income, or any problems you might experience from using our software. If you have questions, you are encouraged to consult the paper and the source code. If you find our software useful, please cite our paper above.