Dear group, pardon me for a naive question. I have data matrix (11K rows , 4K columns). The data range is between -1 to 1. Not strictly integers, but real numbers with at least place values in millionths.
The data distribution is peculiar (if I do plot(density(myMatrix)), I get nice bimodal curve (nice standard distribution between -1 and 0 and another curve between 0 and 1) . I am interested in clustering the data (using conesnsus clustering (that uses K-means)). My question are: 1. If my data is range is between -1 and 1. Is K-means appropriate method. considering if the data might have ties. 2. Although K-means is non-parametric, would a bimodal distributed data be okay as input to K-means. I appreciate any suggestion. Thanks Adrian. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
