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Unsupervised patterns based algorithm for clustering numerical databases

A C# implementations of the algorithm eUD3.5 [1].

An example of using this implementation

In the file Program.cs, specify the paths to the dataset (csv format) where you want to find clusters and unsupervised patterns.

Contributors

Dr. Miguel Angel Medina-Pérez implemented eUD3.5 on top of an architecture created by Dr. Milton García-Borroto and Dr. Octavio Loyola-González.

References

[1] O. Loyola-González, A. E. Gutierrez-Rodrígue, M. A. Medina-Pérez, R. Monroy, J. F. Martínez-Trinidad, J. A. Carrasco-Ochoa, M. García-Borroto, "An explainable Artificial Intelligence model for clustering numerical databases," IEEE Access, vol. 8, pp. 52370-52384, 2020.