On Wed, 5 Mar 2008, Jarek Jasiewicz wrote:
Hi
question about clustering : I try to use R to clustering for large raster
data set (40000 px at least, commonly 2 500 000) but from package cluster
only` clara `works (works fine and fast about 2 seconds on largest data set)
and no other methods (daisy first of all) work. The message I recive is that
`vector is too long` probably it means too large...
Question is simple is there any alternative for cluster package (I think
about fuzzy clasifications) for R? Generally in R are more than few
culustering packages, but before I try to test them, with such dataset I
shall rather look for another tool?
Have you looked at the Cluster Task View?
http://cran.r-project.org/web/views/Cluster.html
Admittedly, many of the methods in these packages are not written to scale
up, but to illustrate the implementation of methods in principle. If you
try to start a list of methods that don't fail for 40K, and contact the
maintainer of the task view (Bettina Gruen), I expect that she and
Friedrich Leisch would consider including a paragraph on the suitability
of the methods they list for larger data sets. I would also look to see
whether the Bioconductor statistics task view:
http://www.bioconductor.org/packages/release/Statistics.html
which has a clustering subview, is relevant - gene array data are also
typically very large. In general, I think that "cluster" as a word is
often used with "machine learning" and "pattern recognition", so the
references and links may be rather disorganised.
Hope this helps,
Roger
Jarek
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--
Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Helleveien 30, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
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