[R] Need help in multi-dimensional clustering

From: kapil mahant <kapil_mahant_at_yahoo.com>
Date: Tue, 08 Jun 2010 22:32:04 +0530 (IST)

Hi All ,

For an academic project I am trying to do the following

Step 1 ) Draw and cluster a N ( lets say 3 ) column dataset by dbscan algorithm using R-project’s fpc package ( let say they are "training clusters" ) ,

                   Using dbscan as number of clusters are not know before hand  
Step 2 )     Once that is done i want to spread some new 
data points in the above plot space ( lets say these are "test points" ) 
Step 3 )     Find out which "test points" are lying within a boundary  ( kinda convex hull ) of any above discovered training clusters 

I am done with Step1 but pretty much stuck after that , Anyone knows how to proceed on the above

Below is the code i am using for Step 1 )

x <- read.table("file.dat" , sep=",")
d <- dbscan(x,eps = 1.9, MinPts=3,showplot = 2); Plot(d);

I am fairly new to R , started a week back , but covered quite a few online resources without success If anyone knows of a better approach of what i am trying to achieve then please let me know

Thanks & Regards

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