Hi everybody, I am trying to make a cluster prediction using the R package named clue, but when trying to make the prediction I cannot do that when I am using the Hierarchical cluster option "hclust".
The error says
Execute failed: Error in R code: "Error: no applicable method for 'predict' applied to an object of class "hclust""
Is interesting because I can do that with the Kmeans. By reading the documentation of the clue package it says that it can predict "an object of class "cl_class_ids" with the predicted class ids, or of class "cl_membership" with the matrix of predicted membership values.", but I does not seem the case for the hclust algo. See the image.
Well I am answering my own question and according to this response "Some of the clustering algorithms (like those centroid based - kmeans, kmedians etc.) can "label" new instance based on the model created. Unfortunately hierarchical clustering is not one of them - it does not partition the input space, it just "connects" some of the objects given during clustering, so you cannot assign the new point to this model." see: https://stackoverflow.com/questions/21064315/how-do-i-predict-new-datas-cluster-after-clustering-training-data
But atill you can make such prediction using the Weka nodes but not the Knime nodes.