Adaptive Incremental Gaussian Mixture Network for Non-Stationtionary Environments

This repository presents the Incremental Gaussian Mixture Network for Non-Stationtionary Environments (IGMN-NSE) proposed by Jorge C. Chamby-Diaz (An Incremental Gaussian Mixture Network for Data Stream Classification in Non-Stationary Environments).

Getting Started

Prerequisites

• JDK 6+
• EJML 0.19+
• GNUPlot 4.2+ (for use graphics)
• JavaPlot (for use graphics)
• Weka 3.6.7+
• MOA 2016+

Features

• Classification in Stationary Environments (using Weka)
• Classification in Non-Stationary Environments (using MOA)

Authors

• Jorge C. Chamby-Diaz - Initial work - jchambyd

License

This project is licensed under the MIT License - see the LICENSE.md file for details