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But in a model like the article examples with 1500+ dimensions doesnt Euclidean distance suffer the "curse of dimensionality", making it unusable for similarity
by Solvency 3y ago
But in a model like the article examples with 1500+ dimensions doesnt Euclidean distance suffer the "curse of dimensionality", making it unusable for similarity searches?
- esafak 3y agoThat is my understanding. But then again, the angle between of two random points in a high dimensional unit hypercube is 90, so cosine similarity is suspect too. High dimensional spaces are weird like that. https://martin-thoma.com/curse-of-dimensionality/ https://martin-thoma.com/curse-of-dimensionality/