Visualize Sparse Matrix.

On Jun 10, 2016, at 04:39, Jim Lemon <drjimlemon at gmail.com> wrote:

Hi Francisco,
I tried this just to see if it would work. It did, after a while.

wtmat<-matrix(rnorm(4602*1817),nrow=4602)
library(plotrix)
x11(width=5,height=13)
color2D.matplot(wtmat,c(1,1,0),c(0,1,0),0,border=FALSE)

Jim

On Fri, Jun 10, 2016 at 8:27 AM, FRANCISCO XAVIER SUMBA TORAL
<xavier.sumba93 at ucuenca.ec> wrote:

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.
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