NeuralGasClustering: Neural gas algorithm for clustering

In Mthrun/FCPS: Fundamental Clustering Problems Suite

Neural gas algorithm for clustering

Description

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

Usage

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.

Value

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

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.

Examples

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

Mthrun/FCPS documentation built on June 28, 2023, 9:29 a.m.