Deep clustering techniques based on autoencoders

This chapter presents the most popular deep clustering techniques based on Autoencoder architectures. From pioneering approaches such as Deep Embedding Network for Clustering (DEN) or Deep Embedded Clustering (DEN) to more contemporary methods such as Not to Deep (N2D), we not only aim to present these methods but also provide insights into the inventors’ intuition, along with a concise formalization of their innovative ideas.