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Discriminating Tensor Spectral Clustering for High-Dimension-Low-Sample-Size Data

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS(2024)

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Key words
Tensors,Noise,Matrix decomposition,Laplace equations,Euclidean distance,Benchmark testing,Robustness,High-dimension-low-sample-size (HDLSS) data,similarity measurement,spectral clustering (SC),tensor,tensor SC (TSC)
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