Hi everybody, I am trying to make a predictive clustering workflow using the R nodes in knime in which three aproaches were used and none of them were successful:
In the first one, I used the R learned node but, the kmeans (as expected) is not recognized as a predictive model.
In the second one, I used the clue package and the cl_predict function in the R Snippet (2:1) node but I keeps executing.
In the third one, I was writing a R model and the reading that model, but again I got busted.
The main assumption is that I want to train a cluster model with some data and then apply new data to such model, I do not know if that is called predictive clustering.
I want to use R because I do not know any knime node that helps me to evaluate a cluster using the Dunn index, Silhouette, elbow method, etc.
The workflow is attached