title: How would I implement k-means with TensorFlow?
body: <p>The intro tutorial, which uses the built-in gradient descent optimizer, makes a lot of sense. However, k-means isn't just something I can plug into gradient descent. It seems like I'd have to write my own sort of optimizer, but I'm not quite sure how to do that given the TensorFlow primitives.</p>
  
  <p>What approach should I take?</p>