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).
Citar como
Tomaso Aste (2024). DBHT (https://www.mathworks.com/matlabcentral/fileexchange/46750-dbht), MATLAB Central File Exchange. Recuperado .
Compatibilidad con la versión de MATLAB
Se creó con
R2013a
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS LinuxCategorías
Más información sobre Statistics and Machine Learning Toolbox en Help Center y MATLAB Answers.
Etiquetas
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Descubra Live Editor
Cree scripts con código, salida y texto formateado en un documento ejecutable.