Pages that link to "Item:Q716365"
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The following pages link to Supervised principal component analysis: visualization, classification and regression on subspaces and submanifolds (Q716365):
Displaying 28 items.
- Supervised singular value decomposition and its asymptotic properties (Q268716) (← links)
- Large correlation analysis (Q547968) (← links)
- Shape classification by manifold learning in multiple observation spaces (Q903623) (← links)
- Continuum directions for supervised dimension reduction (Q1662921) (← links)
- SICA: subjectively interesting component analysis (Q1741396) (← links)
- Supervised dimensionality reduction via distance correlation maximization (Q1746548) (← links)
- Supervised multiway factorization (Q1746558) (← links)
- Conditional t-SNE: more informative t-SNE embeddings (Q2071513) (← links)
- Grouped feature importance and combined features effect plot (Q2172623) (← links)
- Supervised distance preserving projection using alternating direction method of multipliers (Q2190310) (← links)
- Unsupervised dimensionality reduction versus supervised regularization for classification from sparse data (Q2218343) (← links)
- Combined supervised information with PCA via discriminative component selection (Q2353650) (← links)
- Computational and space complexity analysis of SubXPCA (Q2353746) (← links)
- Learning linear PCA with convex semi-definite programming (Q2373456) (← links)
- SubXPCA and a generalized feature partitioning approach to principal component analysis (Q2469736) (← links)
- Linear dimensionality reduction: survey, insights, and generalizations (Q2788388) (← links)
- Supervised <i>t</i>-Distributed Stochastic Neighbor Embedding for Data Visualization and Classification (Q4995088) (← links)
- (Q5054615) (← links)
- Least squares regression principal component analysis: A supervised dimensionality reduction method (Q5071633) (← links)
- Discriminant Dynamic Mode Decomposition for Labeled Spatiotemporal Data Collections (Q5072984) (← links)
- Data-driven models for fault detection using kernel PCA: A water distribution system case study (Q5403406) (← links)
- Structural, Syntactic, and Statistical Pattern Recognition (Q5466274) (← links)
- Reduced basis methods for time-dependent problems (Q5887836) (← links)
- Kernel‐based active subspaces with application to computational fluid dynamics parametric problems using the discontinuous Galerkin method (Q6092233) (← links)
- Optimal discriminant analysis in high-dimensional latent factor models (Q6136589) (← links)
- Alleviating conditional independence assumption of naive Bayes (Q6581299) (← links)
- Interpretable linear dimensionality reduction based on bias-variance analysis (Q6609081) (← links)
- A model-based multithreshold method for subgroup identification (Q6627149) (← links)
