utilsForExamples: The utility function(s) for examples
In EMCC: Evolutionary Monte Carlo (EMC) Methods for Clustering

Description Usage Arguments Value Author(s) See Also

The utility function(s) that are used in the example sections of the exported functions in this package.

partitionRep(clusterInd)
clusterPlot(clusterInd,                    
            data,                  
            main              = '',     
            sub               = '',     
            knownClusterMeans = NULL,   
            ...) 
KMeansFuncGenerator1(seed, plotIt = TRUE)

`clusterInd`	vector of cluster indicators.
`data`	a matrix with two columns representing the two-dimensional data clustered by clusterInd.
`main`	the title of the plot.
`sub`	the sub-title of the plot.
`knownClusterMeans`	a matrix with two columns (for the two dimensions), the rows containing the cluster means. These are plotted when provided.
`seed`	the seed for random number generation.
`plotIt`	`logical`, controls the plotting of the generated data.
`...`	optional arguments to be passed to `plot`; see its documentation.

`partitionRep`	this function returns a list with two components, namely, `clusterLabels` (the unique cluster identifiers) and `clusters` (the partitioning of the cluster identifiers), as a list.
`KMeansFuncGenerator1`	this function returns a list containing the objects to be used as arguments to the exported functions in the respective example sections of this package.