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|Pharmacologic class|`PHC`|
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Obviously, it is mandatory that the *vocabularies* used in the production phase and the mapping phase match.
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## Distance metrics
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From Signature Type 0 onwards, the CC only deals with two distance metrics: the cosine distance and the Euclidean distance. These are well-accepted metrics that capture two different properties: the direction and the absolute distance, respectively.
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It may happen that some datasets require more advanced metrics, though. In this case, we recommend applying any required **transformation** of the data in the pre-processing, so as Signatures Type 0 are natively comparable using cosine/Euclidean distances. This can be achieved by metric learning algorithms. For example, one incorporate a Siamese network in the pre-processing:
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