DVFA

Dual Vigilance Fuzzy ART - Companion MATLAB Code:

• All published scholarly work that makes use of this code shall reference both the Applied Computational Intelligence Laboratory (ACIL) repository and the manuscript:

1. L. E. Brito da Silva, I. Elnabarawy, and D. C. Wunsch II, "Dual Vigilance Fuzzy ART," Neural Networks Letters. To appear.

2. L. E. Brito da Silva, I. Elnabarawy, and D. C. Wunsch II, "Dual Vigilance Fuzzy ART," 2018. [Online].
   Available: https://github.com/ACIL-Group/DVFA

• The data sets used in the experiments section of the Dual Vigilance Fuzzy ART (DVFA) paper are available at:

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

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

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

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

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