Recursive Self-Organizing Map/Neural Gas.
Implementing Artificial Neural Network training process in Python
Neural Gas Network (NGN) Toolbox - NGN Feature Selection - Supervised NGN (NGN Classifier) - NGN Data Augmentor
Implementations of Machine Learning algorithms in Python
Prototype based vector quantization covers a whole group of algorithms designed for clustering and data compression.
The neural gas is a simple algorithm for finding optimal data representations based on feature vectors. The algorithm was coined "neural gas" because of the dynamics of the feature vectors during the adaptation process, which distribute themselves like a gas within the data space.
Compression of an image by Neural gas.
Pytorch implementation and differentiable extension of Neural Gas and Growing Neural Gas algorithms
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