Keywords

#l1-norm_principal_component_analysis

L1-norm principal component analysis

L1-norm principal component analysis (L1-PCA) is a general method for multivariate data analysis. L1-PCA is often preferred over standard L2-norm principal component analysis (PCA) when the analyzed data may contain outliers.

Thu 9th

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L1-norm principal component analysis Principal component analysis Robust principal component analysis Matrix norm BQM Fourier transform Least squares Autoencoder Low-rank approximation Linear regression
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