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What is the best architecture for a clustering task using neural networks?

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I am currently working on a task in which I have to perform unsupervised clustering using a neural network.

My architecture involves an autoencoder to derive a latent space representation for the input classes and a clustering module that should cluster the latent representations obtained with the autoencoder. I was thinking that it should be quite easy to have a clustering module based on Neural Networks and optimized end-to-end but I did not manage to find any implementation of something like this, so how can I approach this problem?

If this is a stupid question I'm sorry but I'm new to unsupervised learning and clustering


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