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Add t-SNE algorithm for dimensionality reduction (#13432)#13433

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Nikita-Kedari wants to merge 2 commits intoTheAlgorithms:masterfrom
Nikita-Kedari:tsne-branch
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Add t-SNE algorithm for dimensionality reduction (#13432)#13433
Nikita-Kedari wants to merge 2 commits intoTheAlgorithms:masterfrom
Nikita-Kedari:tsne-branch

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Description

This PR adds a full educational implementation of t-SNE in Python.
It includes:

  • High-dimensional similarity computation (P matrix)
  • Low-dimensional embedding using Student-t distribution (Q matrix)
  • Gradient descent with momentum to minimize KL divergence
  • Docstrings, type hints, and doctests for educational purposes
  • Updated DIRECTORY.md to include t-SNE

How to test

python machine_learning/tsne.py

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Closing this pull request as invalid

@Nikita-Kedari, this pull request is being closed as none of the checkboxes have been marked. It is important that you go through the checklist and mark the ones relevant to this pull request. Please read the Contributing guidelines.

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@algorithms-keeper algorithms-keeper bot added the awaiting reviews This PR is ready to be reviewed label Oct 11, 2025
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