Known out-of-sample embedding formulas reduce to two principles, projection or restricted reconstruction, and the second is solvable by a one-dimensional search.
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Out-of-Sample Embedding with Proximity Data: Projection versus Restricted Reconstruction
Known out-of-sample embedding formulas reduce to two principles, projection or restricted reconstruction, and the second is solvable by a one-dimensional search.