plotRoughKMeans: Rough k-Means Plotting

In SoftClustering: Soft Clustering Algorithms

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.

SoftClustering documentation built on Aug. 18, 2023, 9:08 a.m.