Vadets Quizlet Link

VaDE (Variational Deep Embedding) is a deep learning model that combines the capabilities of Variational Autoencoders (VAEs) and clustering algorithms. It was introduced in a research paper by Jiang et al. in 2017. VaDE aims to learn a probabilistic representation of data by jointly performing dimensionality reduction, feature learning, and clustering.