Pages that link to "Item:Q1766956"
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The following pages link to Cross-validation methods in principal component analysis: a comparison (Q1766956):
Displaying 10 items.
- Selecting the number of components in principal component analysis using cross-validation approximations (Q434968) (← links)
- Selection of components in principal component analysis: A comparison of methods (Q672963) (← links)
- Fast cross-validation of high-breakdown resampling methods for PCA (Q1020168) (← links)
- On the number of principal components: a test of dimensionality based on measurements of similarity between matrices (Q1023553) (← links)
- Nuclear power plant sensor fault detection using singular value decomposition-based method (Q1637637) (← links)
- CROSS-VALIDATORY CHOICE FOR THE NUMBER OF PRINCIPAL COMPONENTS IN PRINCIPAL COMPONENT REGRESSION (Q3457671) (← links)
- A comparative study of ordinary cross-validation, <i>v</i>-fold cross-validation and the repeated learning-testing methods (Q3833452) (← links)
- A memory-based method to select the number of relevant components in principal component analysis (Q5131521) (← links)
- Detecting the Guttman effect with the help of ordinal correspondence analysis in synchrotron X-ray diffraction data analysis (Q5861251) (← links)
- 9. Multidimensional Data Analysis (Q5899596) (← links)
