Efficient Self-Organizing Map for Sparse Data

Growing Hierarchical Self-Organizing Map (GHSOM) implementation in C++

TRIQS-based Stochastic Optimization Method for Analytic Continuation

A composable container for Adaptive ROS 2 Node computations. Select between FPGA, CPU or GPU at run-time.

Neural network with learning without a teacher, performing the task of visualization and clustering.

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.

Parallelization of the self-organizing map (Kohhonen )

Moka is an application tool developed for the GraphESN-SOM machine learning model.

EdgeSOM: Distributed Hierarchical Edge-driven IoT Data Analytics Framework

C++ implementation of SOM(self-organizing map)

Self-organizing maps implementation.

This repository contains assignments for Scientific Visualization, featuring marching cubes, ray casting, Line Integral Convolution, Sammon Mapping, and Self-Organizing Maps. It demonstrates visualization techniques applied to scientific data.

C++での自己組織化マップ

CUDA implementation of Self-Organizing Map in C++