I have a K-means cluster project from a couple of years ago. Unfortunately what I have is the data with cluster membership, but not the original K-means predictor mode. So I want to use the cluster centers as input (just the matrix of the old means), and score new data. I’m guessing (hoping?) that there is a straightforward way to do this in KNIME, but I’ve never tried it in KNIME.
If it helps, it’s only a handful of variables and a dozen clusters so it would not be difficult to build a small matrix manually, but I want to avoid writing the calculation manually.
This should not be difficult to implement but I would need to know at least two more details: What was the metric you used originally, Euclidean, Tanimoto, any other ? Were your variables (columns) all of type numeric ? Could you please upload here your data to work directly on it and thus provide a better solution ?
Thank so much. Euclidean and integer values ranging from 1 to 5. Uploading data would not be easy to do at this time, but I could upload a fake version of it if required.
