Although the NeighborFinder transformer is currently working very well, it would be better if its features were enhanced to extract unique and non-overlapping values for each input base feature.
Currently, NeighborFinder retrieves all candidates within range, which leads to many candidate values being duplicated across base features. To obtain a unique value based on the closest distance for a base feature,Β Sorter, Sampler, and AttributeRemover TransformerΒ must be added to pick unique values and eliminate duplicates. While this approach is feasible, it would be much better if NeighborFinder natively integrated this functionality to directly extract unique and non-overlapping valuesβwhich could be called a 'Unique Value' feature.Β π