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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