sofm

NeuPy is a Tensorflow based python library for prototyping and building neural networks

Draw using Self-Organizing Feature Map

SPPU - BE ENTC (2015 Pattern) - Elective III

A self-organizing feature map which is trained on a random three-dimensional (RGB) input space.

Fuzzy Clustering Using Hybrid Fuzzy c-means and Fuzzy Particle Swarm Optimization (A Research Paper Implementation along with Self-organization feature map (SOFM) implementation)

SOM - Self-organizing map

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

Self-Organizing Map (Kohonen Self-Organizing Feature Map)

A hybrid machine learning pipeline implementing a Self-Organizing Feature Map (SOFM) and MobileNet CNN for real-time object recognition and unsupervised clustering of image data. Built with Streamlit and MiniSom.

This repository features custom implementations of Multi-Layer Perceptron (MLP) and Kohonen Self-Organizing Feature Maps (SOFM) in C++. The project provides hands-on examples of these neural network models, showcasing their application in classification, regression, and unsupervised learning.

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