NeuralGasClustering function

Neural gas algorithm for clustering

Neural gas algorithm for clustering

Neural gas clustering published by [Martinetz et al., 1993]] and implemented by [Bodenhofer et al., 2011].

NeuralGasClustering(Data, ClusterNo,PlotIt=FALSE,...)

Arguments

  • Data: [1:n,1:d] matrix of dataset to be clustered. It consists of n cases of d-dimensional data points. Every case has d attributes, variables or features.
  • ClusterNo: A number k which defines k different clusters to be built by the algorithm.
  • PlotIt: Default: FALSE, If TRUE plots the first three dimensions of the dataset with colored three-dimensional data points defined by the clustering stored in Cls
  • ...: Further arguments to be set for the clustering algorithm, if not set, default arguments are used.

Returns

List of - Cls: [1:n] numerical vector with n numbers defining the classification as the main output of the clustering algorithm. It has k unique numbers representing the arbitrary labels of the clustering.

  • Object: Object defined by clustering algorithm as the other output of this algorithm

Examples

data('Hepta') out=NeuralGasClustering(Hepta$Data,ClusterNo=7,PlotIt=FALSE)

Author(s)

Michael Thrun

References

[Dimitriadou, 2002] Dimitriadou, E.: cclust-convex clustering methods and clustering indexes. R package, 2002,

[Martinetz et al., 1993] Martinetz, T. M., Berkovich, S. G., & Schulten, K. J.: 'Neural-gas' network for vector quantization and its application to time-series prediction, IEEE Transactions on Neural Networks, Vol. 4(4), pp. 558-569. 1993.

  • Maintainer: Michael Thrun
  • License: GPL-3
  • Last published: 2023-10-19