- If you make use of this SOM IT-vis code please cite the following paper
[1] L. E. Brito da Silva and D. C. Wunsch II, "An Information-Theoretic-Cluster Visualization for Self-Organizing Maps," in IEEE Transactions on Neural Networks and Learning Systems, vol. 29, no. 6, pp. 2595-2613, June 2018.
and refer to this Applied Computational Intelligence Laboratory (ACIL) Github repository as
[2] L. E. Brito da Silva and D. C. Wunsch II, "SOM IT-vis," 2018.
[Online].
Available: https://github.com/ACIL-Group/SOM-IT-vis
- The code provided here to generate the SOM IT-vis makes use of the SOMToolbox© for MATLAB:
[3] J. Vesanto, J. Himberg, E. Alhoniemi, and J. Parhankangas, “Self-Organizing Map in Matlab: the SOM Toolbox,” in Proceedings of the Matlab DSP Conference, 1999, pp. 35–40.
which is available at:
http://www.cis.hut.fi/projects/somtoolbox
If using SOMToolbox©, please abide by its copyright rules and reference it appropriately.
- The data sets used in the experiments section of the SOM IT-vis article are available at:
-
UCI machine learning repository:
http://archive.ics.uci.edu/ml -
Fundamental Clustering Problems Suite (FCPS):
https://www.uni-marburg.de/fb12/arbeitsgruppen/datenbionik/data?language_sync=1 -
Clustering basic benchmark:
http://cs.uef.fi/sipu/datasets
- The "main_example.m" file contains an example of usage of the IT-vis code.