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.
Comments
No comments yet
Be the first to share your thoughts!
Browser Extension
Get instant access to AllDevBlogs from your browser
Top of the Week
No top articles yet