Li Guo

Robust deep subspace clustering based on unsupervised fusion learning

A flexible encoder based on low-rank embedding that adaptively captures the most informative components in the feature space of the input data while filtering out redundant or noisy information, effectively alleviating over-connected affinities is proposed.