GenClustPlusPlus

Class implementing GenClust++ clustering algorithm. For more information, see:

Islam, M. Z., Estivill-Castro, V., Rahman, M. A. and Bossomaier, T. (2018). Combining K-Means and a Genetic Algorithm through a Novel Arrangement of Genetic Operators for High Quality Clustering. Expert Systems with Applications.

BibTeX

\article{adnan2017forest,
  title={Combining K-Means and a Genetic Algorithm through a Novel Arrangement of Genetic Operators for High Quality Clustering},
  author={Islam, M. Z., Estivill-Castro, V., Rahman, M. A. and Bossomaier, T.},
  journal={Expert Systems with Applications},
  year={2018},
  volume={91},
  pages={402-417},
  publisher={Elsevier}
}

Installation

Either download GenClustPlusPlus from the Weka package manager, or download the latest release from the "Releases" section on the sidebar of Github. A video on the installation and use of the package can be found here.

Compilation / Development

Set up a project in your IDE of choice, including weka.jar as s compile-time library.

Valid options are:

-G <num generations> Number of generations for genetic algorithm. (default 60)

-P <popn size> Initial population size for generic algorithm. (default 30)

-N <max num iterations> Max iterations for initial k-means. (default 60)

-Q <max num iterations> Max iterations for quick k-means. (default 15)

-F <max num iterations> Max iterations for final run of k-means. (default 50)

-D <duplicate threshold> Threshold for difference between two genes for them to be considered duplicates. Always between 0 and 1. (default 0)

-M Do not replace missing values with a global mean / mode. (default false)