Update README.md

README.md

@@ -49,6 +49,11 @@ MNIST-1D is a core teaching dataset in Simon Prince's [Understanding Deep Learni
 
 **The term "shuffle" refers to shuffling the spatial dimension of the dataset, as in [Zhang et al. (2017)](https://arxiv.org/abs/1611.03530).
 
+## Dimensionality reduction
+
+Visualizing the MNIST and MNIST-1D datasets with t-SNE. The well-defined clusters in the MNIST plot indicate that the majority of the examples are separable via a kNN classifier in pixel space. The MNIST-1D plot, meanwhile, reveals a lack of well-defined clusters which suggests that learning a nonlinear representation of the data is much more important to achieve successful classification.
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/5e70f6048ce3c604d78fe133/-YhBPH4FNxk5-NHi647Y1.png)
 
 ## Dataset Creation