SampleSize: Size of Sample higher than 300, preferable above 500
PlotIt: TRUE: Plots the challenge with ClusterPlotMDS
PointSize: If PlotIt=TRUE: see ClusterPlotMDS
Plotter3D: If PlotIt=TRUE: see ClusterPlotMDS
...: If PlotIt=TRUE: further arguments for ClusterPlotMDS
Details
A detailed description of the datasets can be found in [Thrun/Ultsch 2020]. Sampling works by combining Pareto Density Estimation with rejection sampling.
Returns
LIST, with - Name: [1:SampleSize,1:d] data matrix
Cls: [1:SampleSize] numerical vector of classification
References
[Thrun/Ultsch, 2020] Thrun, M. C., & Ultsch, A.: Clustering Benchmark Datasets Exploiting the Fundamental Clustering Problems, Data in Brief, Vol. in press, pp. 105501, tools:::Rd_expr_doi("10.1016/j.dib.2020.105501") , 2020.
Author(s)
Michael Thrun
Examples
## Not run:ClusterChallenge("Chainlink",2000,PlotIt=TRUE)## End(Not run)