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-projectâs 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 )
---------------
library('fpc')
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
Kapil
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