Hi, Victor thank you, for your help and advice, forgot to mention that I am using dummy data. My question or problem is how to assign Kmedoids clusters on new data? (since there is no Cluster Assigner node for Kmedoids)
The first question was raised here by someone else, but the solution provided was not correct. Then I asked another question and someone from knime helped me to assign such clusters based on a forum response in Stackoverflow. After that I did a slight modification to the workflow to be able to compare the historical cluster versus the monthly cluster. Finally, I runned the solution (meta node that mimics the Cluster Assigner node for Kmedoids) but the cluster labels do not match in the same degree (60%) as the Xmeans (100%) and EM (100%) did, implying that the Kmedoids predictions are not correct.
I appreciate the workflow that you provided me, but in this case I cannot split the data between train and test, since I have to assign the labels on “new data from the same individuals” not on “unseen data from unseen individuals”. For instance, in my real case the cluster is trained with data that has montly frecuency with two years of information (24 months) for 1000 individuals, then when a new month arrives I apply the Cluster Assigner node to see the individuals that changed its cluster (Historical Cluster vs Montly Cluster). And in most of the cases the individuals remain in the same cluster, but I cannot do that with the Kmedoids since it does not have a Cluster Assigner node.
Thank you.