A small Python 3 library to train Self Organizing Maps and use them to classify patterns.
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Updated
Jun 30, 2024 - Python
A small Python 3 library to train Self Organizing Maps and use them to classify patterns.
🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
Python implementation of Kohonen Self-Organising Maps (SOM) wrapped by FastAPI and deployable to AWS
Python library for Self-Organizing Maps
The project involves practical activities in the field of Decision Systems Engineering, focusing on Data Mining, Machine Learning, and Deep Learning techniques.
This code is part of my PhD research. This code generate hybrid partitions using Kohonen to modeling the labels correlations, and HClust to partitioning the label space.
Recursive Self-Organizing Map/Neural Gas.
A basic implementation of a Kohonen map in JavaScript
This repository implements the Kohonen method, also known as Self-Organizing Maps (SOM), to demonstrate its ability to map data to various spaces, and provides a visual representation of the process.
Implementation of the SOM (Self-Organizing Map) algorithm in C based on the paper "Self-Organizing Maps" by Teuvo Kohonen. It uses Ronald Aylmer Fisher's famous Iris dataset.
Self-Organizing Map (Kohonen Self-Organizing Feature Map)
using Self Organising Map / Kohonen Neural Network
Neural Network Lecture Projects.
Model explainability and high dimensional visualisation library for Python based on Self-Organising-Maps
PyTorch implementation of Kohonen's Self-Organizing Map.
Machine learning project exploring unsupervised learning. Implemented Kohonen Self Organizing Map (KSOM) that clusters an input set of colors based on their features over a 100x100 grid of neurons.
A mesh generator using machine learning.
This project takes place in the teaching unit Technical Articial Intelligence at Lyon 1 University.
Implementations of Machine Learning algorithms in Python
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