Self-Organizing Map (Kohonen Self-Organizing Feature Map)
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Updated
May 28, 2022 - Jupyter Notebook
Self-Organizing Map (Kohonen Self-Organizing Feature Map)
Self-Organizing Maps(SOM) or self-organizing feature map (SOFM) is a type of artificial neural network (ANN) that is trained using unsupervised learning. Using R.
A self organizing feature map for making colors in order
In this Repo. first a SOFM network is implemented to reduce the dimension of pictures and then a multilayer perceptron is used to classify the faces. this project is done on Yale Face dataset : http://vision.ucsd.edu/content/yale-face-database
SOM - Self-organizing map
Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization (A Research Paper Implementation along with Self-organization feature map (SOFM) implementation)
A self-organizing feature map which is trained on a random three-dimensional (RGB) input space.
SPPU - BE ENTC (2015 Pattern) - Elective III
NeuPy is a Tensorflow based python library for prototyping and building neural networks
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