I want to train a dbscan clustering model (with dbscan node or optics node) in order to use it later. Until now I supposed I have to save the results of my training process as a distance model because neither of these nodes gives you a clustering model, but only a distances one.
Find attached a screenshot of my test workflow. I’m not sure about the optics configuration. DBSCAN node is working, but results are not ok… regular data is tagged as noise.
I get epsilon value from model table as variable (it’s a column inside it), this is the reason you can see all of these variable lines.
Maybe someone here could provide me an example of using a previously saved distance model in order to cluster new samples. Or highlight me any error…
Thank in advance.