plotRoughKMeans {SoftClustering}

Rough k-Means Plotting

Description

plotRoughKMeans plots the rough clustering results in 2D. Note: Plotting is limited to a maximum of 5 clusters.

Usage

plotRoughKMeans(dataMatrix, upperMShipMatrix, meansMatrix, plotDimensions, colouredPlot)

Arguments

dataMatrix

Matrix with the objects to be plotted.

upperMShipMatrix

Corresponding matrix with upper approximations.

meansMatrix

Corresponding means matrix.

plotDimensions

An integer vector of the length 2. Defines the to be plotted feature dimensions, i.e., max(plotDimensions = c(1:2)) <= nFeatures. Default: plotDimensions = c(1:2).

colouredPlot

Select TRUE = colouredPlot plot, FALSE = black/white plot.

Value

2D-plot of clustering results. The boundary objects are represented by stars (*).

Author(s)

G. Peters.