Here is the t-SNE code using IRIS data:
library(Rtsne)
iris_unique <- unique(iris) # Remove duplicates
iris_matrix <- as.matrix(iris_unique[,1:4])
set.seed(42) # Set a seed if you want reproducible results
tsne_out <- Rtsne(iris_matrix) # Run TSNE
# Show the objects in the 2D tsne representation
plot(tsne_out$Y,col=iris_unique$Species)
Which produces this plot:
How can I use GGPLOT to make that figure?
I think the easiest/cleanest ggplot
way would be to store all the info you need in a data.frame
and then plot it. From your code pasted above, this should work:
library(ggplot2)
tsne_plot <- data.frame(x = tsne_out$Y[,1], y = tsne_out$Y[,2], col = iris_unique$Species)
ggplot(tsne_plot) + geom_point(aes(x=x, y=y, color=col))
My plot using the regular plot
function is:
plot(tsne_out$Y,col=iris_unique$Species)
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