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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.

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README.md

som

Self Organizing Map

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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

About

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.

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