Pages that link to "Item:Q672963"
From MaRDI portal
The following pages link to Selection of components in principal component analysis: A comparison of methods (Q672963):
Displaying 28 items.
- Computational aspects of algorithms for variable selection in the context of principal components (Q82630) (← links)
- Selecting the number of components in principal component analysis using cross-validation approximations (Q434968) (← links)
- How many principal components? Stopping rules for determining the number of non-trivial axes revisited (Q957273) (← links)
- On the number of principal components: a test of dimensionality based on measurements of similarity between matrices (Q1023553) (← links)
- A decision procedure for determining the number of components in principal component analysis (Q1193973) (← links)
- Principal components selection by the criterion of the minimum mean difference of complexity (Q1323846) (← links)
- A comparison of simulated annealing algorithms for variable selection in principal component analysis and discriminant analysis (Q1623574) (← links)
- Identifying the informational/signal dimension in principal component analysis (Q1634747) (← links)
- Consistency of AIC and BIC in estimating the number of significant components in high-dimensional principal component analysis (Q1650069) (← links)
- Stability approach to selecting the number of principal components (Q1729322) (← links)
- Cross-validation methods in principal component analysis: a comparison (Q1766956) (← links)
- Component-wise dimension reduction (Q1874088) (← links)
- Variance variation criterion and consistency in estimating the number of significant signals of high-dimensional PCA (Q2155641) (← links)
- A restricted selection index method based on eigenanalysis (Q2259956) (← links)
- Valuation function models of principal components and a method for selecting optimum from evaluation schemes (Q2778194) (← links)
- The Impact of Measurement Error on Principal Component Analysis (Q2932773) (← links)
- Deterministic Parallel Analysis: An Improved Method for Selecting Factors and Principal Components (Q3120105) (← links)
- (Q3321834) (← links)
- CROSS-VALIDATORY CHOICE FOR THE NUMBER OF PRINCIPAL COMPONENTS IN PRINCIPAL COMPONENT REGRESSION (Q3457671) (← links)
- Detecting the Dimensionality for Principal Components Model (Q3589989) (← links)
- Choosing Principal Components: A New Graphical Method Based on Bayesian Model Selection (Q3625321) (← links)
- Applied regression analysis bibliography update 1994-97 (Q4216805) (← links)
- Sur l'utilisation optimale de l'analyse en composantes principales. (Optimal use of principal component analysis) (Q4723051) (← links)
- A Simple Rule for the Selection of Principal Components (Q4798095) (← links)
- Comparison of Correction Factors and Sample Size Required to Test the Equality of the Smallest Eigenvalues in Principal Component Analysis (Q5009658) (← links)
- A method of dimensionality reduction by selection of components in principal component analysis for text classification (Q5024582) (← links)
- Using observed confidence levels to perform principal component analyses (Q5739176) (← links)
- 9. Multidimensional Data Analysis (Q5899596) (← links)
