A Python implementation of self-organizing maps and variants
-
Updated
Apr 8, 2015 - Python
A Python implementation of self-organizing maps and variants
Basic Self-Organizing Map along 1-dimensional axis.
Codes and Templates from the SuperDataScience Course
Solving traveling-salesman with self organizing maps
Module 4 of the course IT-3105 Artificial intelligence programming at NTNU. Self organizing maps are based on unsupervised, competitive learning. For this project, the neural network is structured after the "Kohonen network".
This project demonstrates an implementation of a type of Neural Network called Self Organizing Maps which correctly organizes a MNIST digits 1 and 5.
This repository consists of the unsupervised clustering techniques to used to develop a social networking platform in an educational institute.
Plumology - Tools to analyse biased molecular dynamics simulations
Credit card fraud detection using concepts of self organizing maps.
In this project I write SOM(Self-Organazing-Map) Algorithm for Character recognition(There was 7 character and for each one 3 different example in train data). this Algorithm is competitive Algorithm, for example in this problem we define 7 random point (same dimension with characters) and in each iteration we find the nearest character to this …
Explore high-dimensional datasets and how your algo handles specific regions.
This is python implementation for Kohonen Self Organizing map using numpy and tensor
Deep learning tutorial with examples
A photometric redshift monstrosity
Oscillatory models of FHN
Add a description, image, and links to the self-organizing-map topic page so that developers can more easily learn about it.
To associate your repository with the self-organizing-map topic, visit your repo's landing page and select "manage topics."