<p dir="auto">Hi everyone, I was wondering whether anyone knows why t-SNE results into memory errors when reducing the dimension of the data to the default number, which is 2.<br>
I have the mnist dataset and I apply some transformation on it. Resulting in a reduced mnist dataset.<br>
Original: 60000x784<br>
After transformation: 60000x200</p>
<p dir="auto">When I apply t-SNE on transformed mnist 60000x200, I always get a memory error. Also I was wondering why doesn't the multicore option of <code class="notranslate">n_jobs=-1</code> exist?</p>
<p dir="auto">The barnes-hut implementation of t-SNE currently uses a dense matrix representation for the distances, but should be using a sparse matrix.<br>
Discussion see <a class="issue-link js-issue-link" data-error-text="Failed to load title" data-id="53022850" data-permission-text="Title is private" data-url="https://github.com/scikit-learn/scikit-learn/issues/4025" data-hovercard-type="pull_request" data-hovercard-url="/scikit-learn/scikit-learn/pull/4025/hovercard" href="https://github.com/scikit-learn/scikit-learn/pull/4025">#4025</a></p>