Pages that link to "Item:Q2955846"

The following pages link to Principal component analysis: a review and recent developments (Q2955846):

Displaying 50 items.

• Principal loading analysis (Q82192) (← links)
• Principal components: a descent algorithm (Q349019) (← links)
• Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE) (Q826335) (← links)
• Orthogonal dual graph-regularized nonnegative matrix factorization for co-clustering (Q831249) (← links)
• Stability approach to selecting the number of principal components (Q1729322) (← links)
• A slice of multivariate dimension reduction (Q2062766) (← links)
• A 50-year personal journey through time with principal component analysis (Q2062773) (← links)
• Surrogate assisted active subspace and active subspace assisted surrogate -- a new paradigm for high dimensional structural reliability analysis (Q2072474) (← links)
• A guide for sparse PCA: model comparison and applications (Q2073736) (← links)
• Projections with logarithmic divergences (Q2117888) (← links)
• CLMB: deep contrastive learning for robust metagenomic binning (Q2170167) (← links)
• Principal component analysis based on nuclear norm minimization (Q2185616) (← links)
• Kernel embedding based variational approach for low-dimensional approximation of dynamical systems (Q2237840) (← links)
• Attention based adversarially regularized learning for network embedding (Q2238348) (← links)
• Categorical CVA biplots (Q2242169) (← links)
• Dimension reduction big data using recognition of data features based on copula function and principal component analysis (Q2244335) (← links)
• Robust recursive absolute value inequalities discriminant analysis with sparseness (Q2292206) (← links)
• An integrated principal component analysis and multi-objective mathematical programming approach to agile supply chain network design under uncertainty (Q2313771) (← links)
• A theoretical investigation of feature partitioning principal component analysis methods (Q2337453) (← links)
• Hypothesis tests for principal component analysis when variables are standardized (Q2419845) (← links)
• \textit{PESO}: Probabilistic evaluation of subspaces orthogonality for wideband DOA estimation (Q2658613) (← links)
• Low-rank nonnegative matrix factorization on Stiefel manifold (Q2660701) (← links)
• Minimally-invasive parametric model-order reduction for sweep-based radiation transport (Q2675593) (← links)
• SVD perspectives for augmenting DeepONet flexibility and interpretability (Q2679470) (← links)
• Analyzing and predicting non-equilibrium many-body dynamics via dynamic mode decomposition (Q2681135) (← links)
• (Q2756640) (← links)
• Non-linear generalization of principal component analysis: from a global to a local approach (Q2882163) (← links)
• Adaptive data analysis: theory and applications (Q2955848) (← links)
• (Q4727219) (← links)
• Book Reviews (Q4975584) (← links)
• Evaluating the performance of sparse principal component analysis methods in high-dimensional data scenarios (Q4976570) (← links)
• Trace ratio-based dimensionality reduction for discriminative analysis of multiple datasets (Q4996208) (← links)
• A Comparison of Matrix-Free Isogeometric Galerkin and Collocation Methods for Karhunen–Loève Expansion (Q5051045) (← links)
• (Q5053320) (← links)
• (Q5054615) (← links)
• Forward Stepwise Deep Autoencoder-Based Monotone Nonlinear Dimensionality Reduction Methods (Q5066434) (← links)
• Features Reweighting and Selection in ligand-based Virtual Screening for Molecular Similarity Searching Based on Deep Belief Networks (Q5066679) (← links)
• Gaussian determinantal processes: A new model for directionality in data (Q5073075) (← links)
• Eigenvectors from Eigenvalues Sparse Principal Component Analysis (Q5084448) (← links)
• Principal component analysis-based control charts using support vector machines for multivariate non-normal distributions (Q5086321) (← links)
• Correlations in the shear flow of athermal amorphous solids: a principal component analysis (Q5134386) (← links)
• Captive diffusions and their applications to order-preserving dynamics (Q5161083) (← links)
• The principal problem with principal components regression (Q5203802) (← links)
• Compact dictionary pair learning and refining based on principal components analysis (Q5236781) (← links)
• Effective equations for reaction coordinates in polymer transport (Q5856043) (← links)
• The independent component analysis with the linear regression – predicting the energy costs of the public sector buildings in Croatia (Q5872970) (← links)
• Second largest eigenpair statistics for sparse graphs (Q5876312) (← links)
• Solving sparse principal component analysis with global support (Q6038649) (← links)
• PANNA: properties from artificial neural network architectures (Q6040079) (← links)
• A literature survey of matrix methods for data science (Q6068265) (← links)