Similarity Measure Summary

To summarize, a similarity measure quantifies the similarity between a pair of examples, relative to other pairs of examples. The table below compares the two types of similarity measures:

TypeCreate ByUse WhenImplication
ManualManually combining feature data. Datasets are small and features are easily combined.Gain insight into results of similarity calculations, but if feature data changes, then you must update the similarity measure.
SupervisedMeasuring distance between embeddings generated via a supervised DNN. Datasets are large and features are hard to combine. No insight into results, but DNN can automatically adapt to changing feature data.