Hi,
I'm using the clustering package 'fpc' to make some test with the dbscan
algorithm.
The commands I'm using are rather simple:
csvdata <- read.table("C:/file.csv", header = TRUE)
dataset <- csvdata[,c('D1', 'D2', 'D3', 'D4', 'D5', 'D6', 'D7')]
ds <- dbscan(dataset, 0.15, MinPts = 10)
plot(ds, dataset)
The problem I have is that when the dbscan algorithm doesn't recognize any
cluster (but only noise), the plot command fail saying:
Error in axis(side = side, at = at, labels = labels, ...) :
invalid value specified for graphical parameter "pch"
And if I try to set a value for pch with the command plot(ds, dataset, pch =
5), it fails with the message:
Error in localWindow(xlim, ylim, log, asp, ...) :
formal argument "pch" matched by multiple actual arguments
Is there any method to plot the results when the dbscan algorithm does not
recognize any cluster but only noise?
Thanks for any help.
Regards,
Samuele.
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