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What is being learned is an embedding (lower-dimension representation) that generalises well enough to group "similar" fonts together. Both dimensionality redu
by halflings 9y ago
What is being learned is an embedding (lower-dimension representation) that generalises well enough to group "similar" fonts together.
Both dimensionality reduction and clustering are important parts of machine learning: even if some of the dimensionality reduction might be 100% mathematical, most of the recent ones involve statistics and some engineering, hence being included under the ML umbrella.
- Eridrus 9y agoT-SNE doesn't learn an embedding or generalise at all. There is no way to add new points to his plot without running the entire T-SNE algorithm again from scratch. Though who even cares if it is AI or not, it's new and looks useful.