Hi there,
I've tried your suggestion and it seems promising. But I have a couple of
questions. I am reading a three column ASCII file (lon, lat, sst)
mydata <- read.table("INFILE", header=FALSE,sep="",
na.strings="99.00",dec=".",strip.white=TRUE,col.names=c("lon","lat","sst"))
then I extract
Hi Christian and thanks
I've tried your suggestion and it seems promising. But I have a couple of
questions. I am reading a three column ASCII file (lon, lat, sst)
> mydata <- read.table("INFILE", header=FALSE,sep="",
na.strings="99.00",dec=".",strip.white=TRUE,col.names=c("lon","lat","sst"))
th
Hi there,
generally finding the right number of clusters is a difficult problem and
depends heavily on the cluster concept needed for the particular
application.
No outcome of any automatic mathod should be taken for granted.
Having said that, I guess that something like the example given in
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