A C++ implementation of the 'K Means Clustering' algorithm, developed in Visual Studio Community 2017. The code is used to demonstrate the simplicity of the K means (LLoyd's Algorithm). Please take note that this project is still being built and therefore might lack some functionality.
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
A step by step series of examples that tell you have to get a development environment running
Since there are no dependencies, the code can be simply run by just loading the project files inside your project. Please note this project is currently being developed using a console, therefore future branches might include unwanted functions.
Using Visual Studio Community 2017, File > New > Project
Add the class and header files to their respective folders inside your project.
Rightclick [Source Files/Header Files] > Add existing item > Put in .cpp and .h files respectively.
TO BE ADDED, CURRENT VERSION DOES NOT OUTPUT ANY DATA
- Visual Studio Community 2017 - Development Environment
This project is licensed under the MIT License - see the LICENSE.md file for details