| ... | @@ -71,4 +71,4 @@ From Signature Type 0 onwards, the CC only deals with two distance metrics: the |
... | @@ -71,4 +71,4 @@ From Signature Type 0 onwards, the CC only deals with two distance metrics: the |
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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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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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