CUReT (Columbia-Utrecht Reflectance and Texture Database) is a data set of 5612 texture images, each of size 200×200, in 61 classes (shown by colors). The visualization was created with the following steps:

1. Load the CUReT data in scattering features (256 principal components). Suppose the data matrix is X, each row for a toy image.
2. Calculate 5-Nearest-Neighbor graph, using the Euclidean distances, i.e. A=fastknn(X,5);
3. Supply A to NE using wtsne_p, with over-attraction initialilzation, i.e. Y=wtsne_p(A, true);