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What does it mean when euclidean distance gives the best separation using t-sne (stochastic neighbor embedding function)?

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Hello,
I have data which i have used PCA and t-SNE to cluster. Why does euclidean give me the best seperation?
Thanks
  4 Comments
the cyclist
the cyclist on 3 Feb 2023
There is no single "best" choice of distance metric (as far as I can tell), and it is not the job of statistical software to decide which distance metric is better for your data. MATLAB provides options, and sets a default option. Euclidean definitely seems to be the most commonly used metric, so it is sensible as a default.

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