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
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))
then I extract a
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 a subset of
3 matches
Mail list logo