An R package for testing high-dimensional covariance matrices
-
Updated
Oct 5, 2017 - R
#
sparse-pca
Here are 10 public repositories matching this topic...
Gradient-based Fantope projection and selection algorithm for sparse PCA
constrained-optimization eigenvalue convex-optimization sparse-pca sparse-principal-component-analysis eigenvector
-
Updated
Jul 17, 2022 - C
PCA, sparse PCA, and manual penalized matrix decomposition of FIFA 17 Eredivisie player skills, linked to position and market value.
machine-learning r reproducible-research exploratory-data-analysis matrix-factorization rstats principal-component-analysis fifa dimension-reduction sparse-pca eredivisie multivariate-statistics singular-value-decomposition soft-thresholding sports-analytics l1-regularization renv matrix-decomposition football-analytics penalized-matrix-decomposition
-
Updated
Aug 12, 2026 - R
machine-learning clustering cancer-genomics kmeans-clustering sparse-pca rna-seq-data elbow-method liver-cancer one-hot-encoding
-
Updated
Jan 20, 2020 - Jupyter Notebook
TopoSPCA: Topology-Dependent Robustness in Graph-Regularized Sparse PCA
-
Updated
Apr 2, 2026 - Python
Out-of-sample volatility forecasting and Value-at-Risk backtesting for 14 currencies (2000–2026): GARCH/EGARCH/GJR vs. RiskMetrics, with QLIKE and Diebold-Mariano model comparison, Kupiec/Christoffersen VaR coverage tests, and sparse PCA on FX returns. Python.
python time-series forex econometrics quantitative-finance garch sparse-pca value-at-risk risk-management backtesting egarch volatility-forecasting
-
Updated
Jul 10, 2026 - Python
An R Package for Sparse PCA with Multiple Principal Components
-
Updated
Aug 25, 2026 - R
Scripts for the paper: Robust Sparse Smooth Principal Component Analysis for Face Reconstruction and Recognition
-
Updated
Apr 16, 2026 - MATLAB
Scripts for the paper: Robust Sparse Smooth Principal Component Analysis for Face Reconstruction and Recognition
-
Updated
May 28, 2025 - MATLAB
Subspace projection methods (PCA, SPCA, SSPCA, KernelPCA, Isomap) for visual classification. Structured Sparse PCA with co-clustering outperforms baselines on VOC and Caltech benchmarks. Published at BigMM 2017.
python computer-vision scikit-learn pca dimensionality-reduction bag-of-words manifold-learning sparse-pca visual-classification structured-sparse-pca
-
Updated
Aug 1, 2026 - Python
Add this topic to your repo
To associate your repository with the sparse-pca topic, visit your repo's landing page and select "manage topics."