MNIST
Different resolutions of the visualization are available:

MNIST is a data set of 70000 handwritten digit images, each of size 28×28, in 10 classes (shown by colors). The visualization was created with the following steps:

  1. Load the MNIST data in raw pixel representation. Suppose the data matrix is X, each row for a digit image.
  2. Calculate 20-Nearest-Neighbor graph, using the Euclidean distances, i.e. A=fastknn(X,20);
  3. Supply A to NE using wtsne_p, with over-attraction initialilzation, i.e. Y=wtsne_p(A, true);
  4. The class names are placed in the median location of each class in the 2-D space.