r,plot,rgl,multi-dimensional-scaling

Here is a ggplot2 option. I usually shy away from 3D plots as they are hard to interpret properly. I also almost never put in 5 continuous variables in the same plot as I have here... ggplot(df, aes(x=var1, y=var2, fill=var3, color=var4, size=var5^2)) + geom_point(shape=21) + scale_color_gradient(low="red", high="green") + scale_size_continuous(range=c(1,12)) While...

r,matrix,multi-dimensional-scaling

The xtabs and tapply functions return a table which is a matrix: # Using MrFlick's example > xtabs(~a+b,dd) b a f g h i j a 0 1 0 2 3 b 0 0 2 1 0 c 0 3 0 0 1 d 2 2 2 1 1 e...

python,numpy,scikit-learn,multi-dimensional-scaling

Our current implementation of MDS is based on the smacof method which is too generic. A PCA / SVD might be much faster in many cases. This is planned as a pull request. In the mean time you can directly use sklearn.decomposition.RandomizedPCA instead of the MDS class....