Pages that link to "Item:Q1205745"
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The following pages link to Hierarchical relations among three-way methods (Q1205745):
Displaying 23 items.
- Regularized generalized canonical correlation analysis for multiblock or multigroup data analysis (Q296769) (← links)
- Hierarchical multilinear models for multiway data (Q452625) (← links)
- Three-way Tucker2 component analysis solutions of stimuli \(\times \) responses \(\times \) individuals data with simple structure and the fewest core differences (Q538814) (← links)
- An acceleration method for ten Berge et al.'s algorithm for orthogonal INDSCAL (Q650692) (← links)
- INDSCAL model: geometrical interpretation and methodology (Q959166) (← links)
- Uniqueness of real-valued hierarchical classes models (Q972186) (← links)
- Principal classifications analysis: a method for generating consensus dendrograms and its application to three-way data. (Q1129103) (← links)
- Linear methods in multimode data analysis for decision making (Q1318512) (← links)
- Three-mode orthomax rotation (Q1387701) (← links)
- Sparse Tucker2 analysis of three-way data subject to a constrained number of zero elements in a core array (Q1659241) (← links)
- Bayesian multi-tensor factorization (Q1689572) (← links)
- An introduction to multiway data and their analysis (Q1896201) (← links)
- A user-oriented overview of multiway methods and software (Q1896204) (← links)
- The TUCKALS line. A suite of programs for three-way data analysis (Q1896208) (← links)
- Banking customer satisfaction evaluation: a three-way factor perspective (Q1928207) (← links)
- New properties of common component and specific weight analysis (Q2197379) (← links)
- Hierarchical classes models for three-way three-mode binary data: interrelations and model selection (Q2260040) (← links)
- A procedure for isolating social desirability variance in a three-way component analysis (Q2905128) (← links)
- Multiway data analysis. Proceedings of the international meeting on the analysis of multiway data matrices, Rome, Italy, March 28-30, 1988. Assoc. editors: F. Critchley, Y. Escoufier, W. Heiser, N. Lauro, J. Meulman (Q3993154) (← links)
- Application of ordinal correspondence analysis for submerged aquatic vegetation monitoring (Q5129060) (← links)
- Added value of three-way methods for the analysis of mortality trends illustrated with worldwide female cancer mortality (1968-1985) (Q5424146) (← links)
- Three‐mode principal component analysis and perfect congruence analysis for sets of covariance matrices (Q5750187) (← links)
- A generalization of principal component analysis to \(K\) sets of variables. (Q5940830) (← links)
