Hi, currently I’m doing clustering in KNIME. However, the results that I got from several nodes are different by each clusters. My objective is to limit each cluster to certain numbers so that the deviation between clusters would not be that much.
in k-medoids nodes, this is the results of each cluster given the input is distance from distance matrix using euclidian.
I want to limit each cluster results to range between 300-500.
Is there any nodes or workflow that could allow me perform this action in limiting clustering results? or even any code in Python that could be integrated in KNIME to achieve this results?
Thanks in advance!