Self-organizing maps in Go
Optimastion for CF Algorithm using CBR, GA and SOM clustering
Approximation of mixing different gaussian distribution with Self-organizing Map(SoM) and Radial Basis Function(RBF)
Algos de machine learning
This was my Final Project for the Artificial Intelligence Diploma program of The University of Winnipeg - Professional, Applied and Continuing Education (PACE).
Applied a self-organizing map network to cluster feature vectors extracted from ResNet-34 on the CIFAR-10 dataset. Explored different network configurations, such as one-dimensional and two-dimensional topologies, and neighborhood radius, to analyze the clustering results.
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