I have not been using KNIME for long and I am just learning the ropes. I hope my question is not stupid. I have edited a data set and want to reduce it to two dimensions once using PCA once using t-SNE. This also works. Now I want to know which input variables have how much influence on my principal components, in order to display this in a ranking at the end. Unfortunately, I don’t know which nodes are best suited for this. Rank Correlation makes no sense to me and with Linear Correlation I get the error message that a column has the wrong name.
See if this helps. Same data set as the first link @sanket_2012 sent you. I have no idea what your data looks like. I’m not a trained statistician, so I’m not getting in a discussion about which correlation method is better.