Hi, First of all, sorry for my question it could be so basic for a common user in R, but I am starting with this new environment.
I have done a clustering job and I would like to visualize my vectors. I have a matrix of TF-IDF weights of 4602 x 1817. I store the values in a CSV file. How can I visualize my vectors in a 2D-space? After that, I execute a clustering algorithm and I got a label for each cluster. How can I visualize my vectors resulting base on a color or figure for each cluster? This is the code that I am having trying to accomplish my graphs: data <- read.csv(pathFile,header = FALSE, sep = ",”) dMatrix <- matrix(unlist(data), ncol = 4602, byrow = TRUE) # Use a matrix to use melt. # Graph my data ggplot(melt(dMatrix), aes(Var1,Var2, fill=value)) + geom_raster() + scale_fill_gradient2(low='red', high=‘black', mid=‘white') + theme_bw() + xlab("x1") + ylab("x2") Cheers. [[alternative HTML version deleted]] ______________________________________________ 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.