Deep clustering with fusion autoencoder

Abstract

Two generative frameworks, i.e., variational autoencoder and generative adversarial network are seamlessly united to construct a new autoencoder: the fusion autoencoder.• Residual neural network is adopted to build the network architecture of the proposed autoencoder.• Clusters are captured by a separate dense neural network.