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VAT + FA

VAT + Fuzzy ART Framework - Companion MATLAB Code:

• If you make use of this code please cite the following paper

[1] L. E. Brito da Silva and D. C. Wunsch II, "A study on exploiting VAT to mitigate ordering effects in Fuzzy ART," 2018 International Joint Conference on Neural Networks (IJCNN), Rio de Janeiro, 2018, pp. 1-8.

and refer to this Applied Computational Intelligence Laboratory (ACIL) Github repository as

[2] L. E. Brito da Silva and D. C. Wunsch II, "VAT + Fuzzy ART Framework," 2018. [Online]. <br/>Available: https://github.com/ACIL-Group/VAT-FA

• The data sets used in the experiments section of the VAT + Fuzzy ART paper are available at:

1. UCI machine learning repository: <br/>http://archive.ics.uci.edu/ml

2. Fundamental Clustering Problems Suite (FCPS): <br/>https://www.uni-marburg.de/fb12/arbeitsgruppen/datenbionik/data?language_sync=1

3. Datasets package: <br/>https://www.researchgate.net/publication/239525861_Datasets_package

4. Clustering basic benchmark: <br/>http://cs.uef.fi/sipu/datasets

• The "main_example.m" file contains an example of usage of the code provided.