You are now following this Submission
- You will see updates in your followed content feed
- You may receive emails, depending on your communication preferences
Perform DBHT clustering, a deterministic technique which only requires a similarity matrix S, and respective dissimilarity matrix D.
See: Song, Won-Min, T. Di Matteo, and Tomaso Aste. "Hierarchical information clustering by means of topologically embedded graphs." PloS one 7.3 (2012): e31929.
This version makes extensive use of graph-theoretic filtering technique called Triangulated Maximally Filtered Graph (TMFG).
Cite As
Tomaso Aste (2026). DBHT (https://www.mathworks.com/matlabcentral/fileexchange/46750-dbht), MATLAB Central File Exchange. Retrieved .
General Information
- Version 1.3.0.0 (12.7 KB)
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
