title: t-SNE generates different results on different machines
body: <p>I have around 3000 datapoints in 100D that I project to 2D with t-SNE. Each datapoint belongs to one of three classes. However, when I run the script on two separate computers I keep getting inconsistent results. Some inconsistency is expected as I use a random seed, however one of the computers keeps getting better results (I use a macbook pro and a stationary machine on Ubuntu).</p>
  
  <p>I use the t-SNE implementation from Scikit-learn. The script and data is identical, I've manually copied the folder to make sure. The relevant code snippet looks like this:</p>
  
  <pre><code>X_vectors, X_labels = self.load_data(spec_path, sound_path, subset)
  tsne = TSNE(n_components=2, perplexity=25, random_state=None)
  Y = tsne.fit_transform(X_vectors)
  self.plot(X_labels, Y[:, 0], Y[:, 1], Y)
  </code></pre>
  
  <p>The first image is one sample generated from the macbook, I've ran it several times and it always generates a similar shape within the same x/y-range. The second is from Ubuntu and is clearly better, again I've ran it several times to make sure and it continues to generate better results, always in a higher x/y-range compared to the mac. Not sure what I'm not seeing here, it may very well be something obvious that I missed.</p>
  
  <p><a href="https://i.stack.imgur.com/n1Q3R.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/n1Q3R.png" alt="Result from the MacbookPro"></a>
  <a href="https://i.stack.imgur.com/D6u5C.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/D6u5C.png" alt="Result from Ubuntu"></a></p>