[R] How to do clustering
Dear List, I have another question to bother you about how to do clustering. My data consists of 49 columns (49 variables) and 238804 rows. I would like to do hierarchical clustering (unsupervised clustering and PCA). So far I tried pvclust (www.is.titech.ac.jp/~shimo/prog/*pvclust* /) but I always had the problem like for R like cannot allocate the memory. I am curious about what else packages can perform the clustering analysis while memory efficient. Meanwhile, is there any way that I can extract the features of each cluster. In other words, I would like to identify which are responsible for classifying these variables (samples). Thanks a lot! Sincerely, Alex [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch 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.
Re: [R] How to do clustering
sorry, I hit send before finishing my thoughts... and as for clustering microarray data, you might want to consider the bioconductor mailing list... [EMAIL PROTECTED] b On Jun 7, 2007, at 10:42 PM, ssls sddd wrote: Dear List, I have another question to bother you about how to do clustering. My data consists of 49 columns (49 variables) and 238804 rows. I would like to do hierarchical clustering (unsupervised clustering and PCA). So far I tried pvclust (www.is.titech.ac.jp/~shimo/prog/ *pvclust* /) but I always had the problem like for R like cannot allocate the memory. I am curious about what else packages can perform the clustering analysis while memory efficient. Meanwhile, is there any way that I can extract the features of each cluster. In other words, I would like to identify which are responsible for classifying these variables (samples). Thanks a lot! Sincerely, Alex [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch 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. __ R-help@stat.math.ethz.ch 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.
Re: [R] How to do clustering
Hi Alex, just in case you're trying to get genotypes from the Affymetrix 500K set, you might want to check the oligo package available on BioConductor. best, b On Jun 7, 2007, at 10:42 PM, ssls sddd wrote: Dear List, I have another question to bother you about how to do clustering. My data consists of 49 columns (49 variables) and 238804 rows. I would like to do hierarchical clustering (unsupervised clustering and PCA). So far I tried pvclust (www.is.titech.ac.jp/~shimo/prog/ *pvclust* /) but I always had the problem like for R like cannot allocate the memory. I am curious about what else packages can perform the clustering analysis while memory efficient. Meanwhile, is there any way that I can extract the features of each cluster. In other words, I would like to identify which are responsible for classifying these variables (samples). Thanks a lot! Sincerely, Alex [[alternative HTML version deleted]] __ R-help@stat.math.ethz.ch 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. __ R-help@stat.math.ethz.ch 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.
