Hi everyone
I have a question about clustering. I've managed using CLARA to get a
clustering analysis of a large data set. But now I want to find which is the
right number of clusters.
The clara.object gives some information like the ratio between maximal and
minimal dissimilarity that says
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
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