On Thu, 21 Aug 2008, [EMAIL PROTECTED] wrote:
Hi all,
I have a matrix of about 100.000 x 4 that I need to classify using
euclidean metric. For that I am using dist or daisy functions, but I
am afraid that the message: Error in vector("double", length) : vector
size specified is too large, means too much lines.
Yes, your distance matrix will take dozens of Gigabytes to store.
Can anyone suggest me how should I analyse this matrix?
Try something other than 'hierarchical clustering'.
See
http://cran.r-project.org/web/views/Cluster.html
for some suggestions.
kmeans(), perhaps ?
HTH,
Chuck
Thanks in advance,
Diogo André Alagador
MNCN,CSIC, Madrid, Spain
ISA, Lisbon, Portugal
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
Charles C. Berry (858) 534-2098
Dept of Family/Preventive Medicine
E mailto:[EMAIL PROTECTED] UC San Diego
http://famprevmed.ucsd.edu/faculty/cberry/ La Jolla, San Diego 92093-0901
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
