The following pages link to FactoMineR (Q16744):
Displaying 33 items.
- Selecting the number of components in principal component analysis using cross-validation approximations (Q434968) (← links)
- Probability \textit{Distributome}: a web computational infrastructure for exploring the properties, interrelations, and applications of probability distributions (Q736646) (← links)
- Classification for time series data. An unsupervised approach based on reduction of dimensionality (Q779045) (← links)
- Testing the significance of the \textit{RV} coefficient (Q1023929) (← links)
- CINNA (Q1350991) (← links)
- An exposition of multivariate analysis with the singular value decomposition in R (Q1623402) (← links)
- Non-symmetrical composite-based path modeling (Q1630888) (← links)
- Gaussian-based visualization of Gaussian and non-Gaussian-based clustering (Q2040030) (← links)
- A quantile regression perspective on external preference mapping (Q2106824) (← links)
- Statistical study of data collected by the Observatoire National des Maladies du Bois de la Vigne (Q2197395) (← links)
- Principal component and correspondence analyses using R (to appear) (Q2253776) (← links)
- Exploratory visual inspection of category associations and correlation estimation in multidimensional subspaces (Q2304068) (← links)
- Data breaches: goodness of fit, pricing, and risk measurement (Q2364015) (← links)
- Multiple correspondence analysis and the multilogit bilinear model (Q2397131) (← links)
- Bootstrap-based regularization for low-rank matrix estimation (Q2834438) (← links)
- Multiple factor analysis with R (Q2852000) (← links)
- Numerical Ecology with R (Q3060349) (← links)
- Numerical Ecology with R (Q4595021) (← links)
- Exploratory Multivariate Analysis by Example Using R (Q4631565) (← links)
- Principal axes analysis of symbolic histogram variables (Q4970192) (← links)
- An ensemble learning method for variable selection: application to high-dimensional data and missing values (Q5055250) (← links)
- (Q5101688) (← links)
- Exploratory multivariate analysis by example using R (Q5127044) (← links)
- Extending dual multiple factor analysis to categorical tables (Q5128923) (← links)
- Clustering ranking data in market segmentation: a case study on the Italian McDonald's customers’ preferences (Q5138136) (← links)
- Computational Genomics with R (Q5151092) (← links)
- Multiple Factor Analysis by Example Using R (Q5172965) (← links)
- Multiple imputation for continuous variables using a Bayesian principal component analysis (Q5222464) (← links)
- Model-Based and Nonparametric Approaches to Clustering for Data Compression in Actuarial Applications (Q5379210) (← links)
- Exploratory Multivariate Analysis by Example Using R (Q5392893) (← links)
- (Q5737828) (← links)
- Simple Measures of Individual Cluster-Membership Certainty for Hard Partitional Clustering (Q5868167) (← links)
- Regularised PCA to denoise and visualise data (Q5962752) (← links)
