On 10/12/10 23:26:28, dorina.lazar wrote: > I am looking for a clustering method usefull to classify the countries in > some clusters taking account of: a) the geographical distance (in km) > between countries and b) of some macroeconomic indicators (gdp, life > expectancy...).
Hi Dorina, before choosing R packages useful for this task, the task itself must be clarified. What does the data you're working with look like? I'm asking because it looks as if you're trying to mix spatial (spatial distances) and non-spatial information in a clustering algorithm. I've done a lot of research in this area because I needed something similar (combining spatial and non-spatial information) and the existing approaches weren't really useful in my case because I had equidistant spatial points with equal spatial density (management zone delineation in precision agriculture). There are a few algorithms which may be suitable for your work, maybe check out the references below (you should find those using only the title, otherwise please let me know): MOSAIC: A Proximity Graph Approach for Agglomerative Clustering ICEAGE: Interactive Clustering and Exploration of Large and High-Dimensional Geodata Efficient regionalization techniques for socio-economic geographical units using minimum spanning trees (SKATER) I haven't seen too many R implementations yet, though. You may also try the R-sig-geo mailing list, because your data look geo :-) https://stat.ethz.ch/mailman/listinfo/r-sig-geo Regards, Georg. -- Research Assistant Otto-von-Guericke-Universität Magdeburg resea...@georgruss.de http://research.georgruss.de ______________________________________________ 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.
