A Tensor Method Based on Enhanced Tensor Nuclear Norm and Hypergraph Laplacian Regularization for Pan-Cancer Omics Data Analysis
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DOI: 10.1109/jbhi.2022.3231908
Abstract: As a powerful data representation technique, tensor robust principal component analysis (TRPCA) has been widely used for clustering and feature selection tasks. However, it ignores the significant difference in singular values of tensor data and… read more here.
Keywords: tensor; enhanced tensor; nuclear norm; tensor nuclear ... See more keywords