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.

Related tags

Machine learning clustering som self-organizing-map unsupervised-machine-learning
Overview

som

Self Organizing Map

Build Status Codacy Badge

Pre-requisites

Setup rust

To download Rustup and install Rust, run the following in your terminal, then follow the on-screen instructions.

curl https://sh.rustup.rs -sSf | sh

Setting up the project

Here are the instructions on how to setup the project.

Clone Project

Clone the repository

git clone https://github.com/sumedhe/som.git
cd som

Build

Build the project

cargo build --release

Build & Run program

To start the program,

cargo run

Run tests

Unit tests

cargo test
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Owner
SelfOrgMap
Self Organizing Map (SOM)
SelfOrgMap
GitHub
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