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BioSTD: A New Tensor Multi-View Framework via Combining Tensor Decomposition and Strong Complementarity Constraint for Analyzing Cancer Omics Data
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Home Full-text access for editors A multi-view classification and feature selection method via sparse low-rank regression analysis by Yao Lu; Ying-Lian Gao; Pei-Yong Li; Jin-Xing Liu International Journal of Data Mining and Bioinformatics (IJDMB), Vol. 24, No. 2, 2020 Abstract: In recent years, multi-view classification and feature selection methods have received close attention in many fields. However, in many practical classification problems, the data in each view may contain a lot of noises.
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