Metric learning with linear methods
Read OriginalThis technical article details a method for linear metric learning, aiming to find a transformation matrix A so that distances between transformed feature vectors approximate distances between response vectors. It walks through the mathematical derivation, addressing symmetry and positive semi-definiteness constraints, and includes an R code example for testing the approach.
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