Dear list:
I have a dataset of geographical data that looks like this example data:
dat<- data.frame( lon = c(rnorm(1000, mean=-10), rnorm(1000, mean=10),
rnorm(1000, mean=5)),
lat = c(rnorm(1000, mean=40), rnorm(1000, mean=30), rnorm(1000, mean=0)))
plot(dat$lon, dat$lat)
My positions are clearly clustered (in this example there are 3 clusters).
Is there any R algorithm that
allows me to identify the three groups of points and allocate to each pair
the respective cluster?
Many thanks in advance
Jonas
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