Deep Subspace Clustering Networks

NeurIPS 2017 Pan JiTong ZhangHongdong LiMathieu SalzmannIan Reid

We present a novel deep neural network architecture for unsupervised subspace clustering. This architecture is built upon deep auto-encoders, which non-linearly map the input data into a latent space... (read more)

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TASK DATASET MODEL METRIC NAME METRIC VALUE GLOBAL RANK RESULT BENCHMARK
Image Clustering Extended Yale-B DSC-2 Accuracy 0.973 # 3
NMI 0.970 # 2

Methods used in the Paper


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