2017
Deep Clustering via Joint Convolutional Autoencoder Embedding and Relative Entropy Minimization
ICCV 2017poster
In this paper, we propose a new clustering model, called DEeP Embedded RegularIzed ClusTering (DEPICT), which efficiently maps data into a discriminative embedding subspace and precisely predicts cluster assignments. DEPICT generally consists of a multinomial logistic regression function stacked on…