or the Euclidean distance in this embedding space okay and what you train you can see right here you train the parameters of this neural network so the transformations are fixed or sampled and the distance is fixed you train the neural networks such that your embeddings minimize this task now this is nothing new this has been this has been used for a couple of years now to get better representation self supervised learning the thing but they basically say we can use this as an initialization step for this clustering procedure because if we