Dear Paco,
I tried dbscan on my computer with method="hybrid" and a 155000*3
data matrix and it works. Needs some time though.
(You can track the progress using something like
countmode=c(1:10,100,1000,1,10).)
Note that for some reason I don't exactly understand, it takes *much*
longer
Hello Christian
Thanks for answering. Yes, I have tried dbscan from fpc but I'm still
stuck on the memory problem. Regarding your answer, I'm not sure which
memory parameter should I look at. Following is the code I tried with
dbscan parameters, maybe you can see if there is any mistake.
sst
Have you considered the dbscan function in library fpc, or was it another
one?
dbscan in fpc doesn't have a "distance" parameter but several options, one
of which may resolve your memory problem (look up the documentation of the
"memory" parameter).
Using a distance matrix for hundreds of thou
Hello everyone,
When looking for information about clustering of spatial data in R I was
directed towards DBSCAN. I've read some docs about it and theb new
questions have arisen.
DBSCAN requires some parameters, one of them is "distance". As my data
are three dimensional, longitude, latitude
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