Pages that link to "Item:Q1431150"

The following pages link to The Gifi system of descriptive multivariate analysis. (Q1431150):

Displaying 24 items.

• Acceleration of the alternating least squares algorithm for principal components analysis (Q452548) (← links)
• Multiple taxicab correspondence analysis (Q484236) (← links)
• Generalized data-fitting factor analysis with multiple quantification of categorical variables (Q737005) (← links)
• An imputation method for categorical variables with application to nonlinear principal component analysis (Q901642) (← links)
• Homogeneity analysis using absolute deviations (Q957137) (← links)
• An analysis and synthesis of multiple correspondence analysis, optimal scaling, dual scaling, homogeneity analysis and other methods for quantifying categorical multivariate data (Q1070717) (← links)
• The spectral envelope and its applications. (Q1431184) (← links)
• Multilevel homogeneity analysis with differential weighting (Q1566654) (← links)
• Data visualization through graph drawing (Q1861627) (← links)
• A system on categorical data analysis: SANI (Q1897416) (← links)
• Non-metric partial least squares (Q1950875) (← links)
• An improved reliability model for FMEA using probabilistic linguistic term sets and TODIM method (Q2150805) (← links)
• Categorical CVA biplots (Q2242169) (← links)
• Multiple correspondence analysis and the multilogit bilinear model (Q2397131) (← links)
• A principal component method to impute missing values for mixed data (Q2418252) (← links)
• Relativity and Resolution for High Dimensional Information Visualization with Generalized Association Plots (GAP) (Q3298648) (← links)
• Bootstrap confidence regions for correspondence analysis (Q4925425) (← links)
• An approach to setting up a national customer satisfaction index: the Jordan case study (Q5124884) (← links)
• Mining performance data through nonlinear PCA with optimal scaling (Q5391295) (← links)
• Statistical analysis of health preventive behavior of population under universal coverage health insurance project in Chiang Mai municipal area (Thailand) (Q5756396) (← links)
• Detecting the Guttman effect with the help of ordinal correspondence analysis in synchrotron X-ray diffraction data analysis (Q5861251) (← links)
• Constructing Common Factors from Continuous and Categorical Data (Q5863576) (← links)
• Speeding up the convergence of the alternating least squares algorithm using vector \(\varepsilon\) acceleration and restarting for nonlinear principal component analysis (Q6104411) (← links)
• Universal Features for High-Dimensional Learning and Inference (Q6125994) (← links)