Clustering MNIST – naïve

This is the beginning of a series in which we’ll explore ways to perform clustering. In particular, we’ll perform clustering on the MNIST dataset, since it’s a dataset of high dimensionality which is easy to understand. In my previous post, ‘How to implement the K-means algorithm in Tensorflow‘, I explain the code of Sergey Kovalev, […]

Clustering MNIST – naïve Read More »