Self-organizing maps implementation.
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Updated
Jun 18, 2018 - C++
Self-organizing maps implementation.
CUDA implementation of Self-Organizing Map in C++
Moka is an application tool developed for the GraphESN-SOM machine learning model.
EdgeSOM: Distributed Hierarchical Edge-driven IoT Data Analytics Framework
Parallelization of the self-organizing map (Kohhonen )
Self Organizing Map (SOM) is a type of Artificial Neural Network (ANN) that is trained using an unsupervised, competitive learning to produce a low dimensional, discretized representation (feature map) of higher dimensional data.
Neural network with learning without a teacher, performing the task of visualization and clustering.
TRIQS-based Stochastic Optimization Method for Analytic Continuation
Efficient Self-Organizing Map for Sparse Data
Growing Hierarchical Self-Organizing Map (GHSOM) implementation in C++
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