Pages that link to "Item:Q928846"
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The following pages link to Sparse principal component analysis via regularized low rank matrix approximation (Q928846):
Displaying 21 items.
- Sparse correspondence analysis for large contingency tables (Q6084657) (← links)
- Group linear algorithm with sparse principal decomposition: a variable selection and clustering method for generalized linear models (Q6099122) (← links)
- \(\mathrm{C_{enet}Biplot}\): a new proposal of sparse and orthogonal biplots methods by means of elastic net CSVD (Q6106142) (← links)
- Sparsifying the least-squares approach to PCA: comparison of lasso and cardinality constraint (Q6106165) (← links)
- A communication-efficient and privacy-aware distributed algorithm for sparse PCA (Q6133304) (← links)
- Sparse principal component analysis for high‐dimensional stationary time series (Q6140347) (← links)
- Envelopes and principal component regression (Q6184884) (← links)
- A data-driven approach to conditional screening of high-dimensional variables (Q6539179) (← links)
- Nonsmooth optimization over the Stiefel manifold and beyond: proximal gradient method and recent variants (Q6540011) (← links)
- Exactly Uncorrelated Sparse Principal Component Analysis (Q6552546) (← links)
- An efficient algorithm for Fantope-constrained sparse principal subspace estimation problem (Q6570966) (← links)
- Estimation of Sparsity-Induced Weak Factor Models (Q6586902) (← links)
- Diffusion Indexes With Sparse Loadings (Q6616623) (← links)
- Testing Serial Correlation and ARCH Effect of High-Dimensional Time-Series Data (Q6617741) (← links)
- Adaptive predictive principal components for modeling multivariate air pollution (Q6626017) (← links)
- Probabilistic predictive principal component analysis for spatially misaligned and high-dimensional air pollution data with missing observations (Q6626158) (← links)
- Bayesian Inference Using the Proximal Mapping: Uncertainty Quantification Under Varying Dimensionality (Q6631685) (← links)
- Sparse and integrative principal component analysis for multiview data (Q6635573) (← links)
- Sparse Principal Component Analysis Based on Least Trimmed Squares (Q6636568) (← links)
- Sparse Independent Component Analysis with an Application to Cortical Surface fMRI Data in Autism (Q6651354) (← links)
- Test for high-dimensional outliers with principal component analysis (Q6670084) (← links)
