PARAFAC. Tutorial and applications
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[1] Rasmus Bro,et al. Prediction of Polyphenol Oxidase Activity in Model Solutions Containing Various Combinations of Chlorogenic Acid, (−)-Epicatechin, O2, CO2, Temperature, and pH by Multiway Data Analysis , 1997 .
[2] Rasmus Bro,et al. Enzymatic browning of vegetables. Calibration and analysis of variance by multiway methods , 1996 .
[3] L. Nørgaard. A multivariate chemometric approach to fluorescence spectroscopy. , 1995, Talanta: The International Journal of Pure and Applied Analytical Chemistry.
[4] John R. Whitaker,et al. The biochemistry and control of enzymatic browning , 1995 .
[5] D. Burdick. An introduction to tensor products with applications to multiway data analysis , 1995 .
[6] Age K. Smilde,et al. Multicomponent Determination of Chlorinated Hydrocarbons Using a Reaction-Based Chemical Sensor. 3. Medium-Rank Second-Order Calibration with Restricted Tucker Models , 1994 .
[7] R. Harshman,et al. PARAFAC: parallel factor analysis , 1994 .
[8] Gerrit Kateman,et al. Generalized rank annihilation method. I: Derivation of eigenvalue problems , 1994 .
[9] Ben C. Mitchell,et al. Slowly converging parafac sequences: Swamps and two‐factor degeneracies , 1994 .
[10] S. Leurgans,et al. A Decomposition for Three-Way Arrays , 1993, SIAM J. Matrix Anal. Appl..
[11] Ben C. Mitchell,et al. An empirical comparison of resolution methods for three-way arrays , 1993 .
[12] M. C. Ortiz,et al. A program for non-orthogonal rotation in factor analysis , 1993 .
[13] H. Kiers. An alternating least squares algorithms for PARAFAC2 and three-way DEDICOM , 1993 .
[14] B. Kowalski,et al. The parsimony principle applied to multivariate calibration , 1993 .
[15] Paul J. Gemperline,et al. Eliminating complex eigenvectors and eigenvalues in multiway analyses using the direct trilinear decomposition method , 1993 .
[16] Mikael Kubista,et al. Analysis of Correlated Spectral Data , 1993 .
[17] S. Leurgans,et al. Multilinear Models: Applications in Spectroscopy , 1992 .
[18] Age K. Smilde,et al. Three-way analyses problems and prospects , 1992 .
[19] J. Berge,et al. Kruskal's polynomial for 2×2×2 arrays and a generalization to 2×n×n arrays , 1991 .
[20] H. Späth. Mathematical algorithms for linear regression , 1991 .
[21] Henk A. L. Kiers,et al. Hierarchical relations among three-way methods , 1991 .
[22] Henk A. L. Kiers,et al. An efficient algorithm for PARAFAC of three-way data with large numbers of observation units , 1991 .
[23] R. T. Ross,et al. Factor analysis of the near-ultraviolet absorption spectrum of plastocyanin using bilinear, trilinear, and quadrilinear models. , 1990, Archives of biochemistry and biophysics.
[24] Linda B. McGown,et al. Resolution of multicomponent fluorescent mixtures by analysis of the excitation–emission–frequency array , 1990 .
[25] B. Kowalski,et al. Tensorial resolution: A direct trilinear decomposition , 1990 .
[26] Paul Geladi,et al. Analysis of multi-way (multi-mode) data , 1989 .
[27] Jos M. F. ten Berge,et al. Convergence of ParaFac preprocessing procedures and the Deming-Stephan method of iterative proportional fitting , 1989 .
[28] J. Kruskal,et al. How 3-MFA data can cause degenerate parafac solutions, among other relationships , 1989 .
[29] J. Kruskal. Rank, decomposition, and uniqueness for 3-way and n -way arrays , 1989 .
[30] J. Leeuw,et al. Explicit candecomp/parafac solutions for a contrived 2 × 2 × 2 array of rank three , 1988 .
[31] J. Barlow. Error Analysis and Implementation Aspects of Deferred Correction for Equality Constrained Least Squares Problems , 1988 .
[32] N. Nichols,et al. Iterative Methods for Equality-Constrained Least Squares Problems , 1988 .
[33] H. Martens,et al. ANOVA Interactions Interpreted by Partial Least Squares Regression , 1986 .
[34] Richard J. Hanson,et al. Linear least squares with bounds and liner constraints , 1986 .
[35] B. Everitt,et al. Three-Mode Principal Component Analysis. , 1986 .
[36] S. Weisberg,et al. Residuals and Influence in Regression , 1982 .
[37] D. Eichorn. Present and Past in Middle Life , 1982 .
[38] Forrest W. Young,et al. Component models for three-way data: An alternating least squares algorithm with optimal scaling features , 1980 .
[39] J. Kruskal,et al. Candelinc: A general approach to multidimensional analysis of many-way arrays with linear constraints on parameters , 1980 .
[40] J. Kruskal. More factors than subjects, tests and treatments: An indeterminacy theorem for canonical decomposition and individual differences scaling , 1976 .
[41] Charles L. Lawson,et al. Solving least squares problems , 1976, Classics in applied mathematics.
[42] J. Chang,et al. Analysis of individual differences in multidimensional scaling via an n-way generalization of “Eckart-Young” decomposition , 1970 .
[43] N. Cliff. Orthogonal rotation to congruence , 1966 .
[44] R. Cattell. “Parallel proportional profiles” and other principles for determining the choice of factors by rotation , 1944 .
[45] R. Bro. Multiway calibration. Multilinear PLS , 1996 .
[46] Lars Nørgaard,et al. Classification and prediction of quality and process parameters of thick juice and beet sugar by fluorescence spectroscopy and chemometrics , 1995 .
[47] Sue Leurgans,et al. [27] Component resolution using multilinear models , 1995 .
[48] B. Kowalski,et al. Theory of medium‐rank second‐order calibration with restricted‐Tucker models , 1994 .
[49] Wilhelmus Petrus Krijnen,et al. The analysis of three-way arrays by constrained parafac methods , 1993 .
[50] A. Smilde,et al. Simple validatory tools for judging the predictive performance of parafac and three‐way PLS , 1992 .
[51] Magni Martens,et al. Partial least-squares regression on design variables as an alternative to analysis of variance , 1986 .
[52] H. Law. Research methods for multimode data analysis , 1984 .
[53] R. A. Harshman,et al. Data preprocessing and the extended PARAFAC model , 1984 .
[54] Richard A. Harshman,et al. Appendix A – Basic Concepts Underlying the PARAFAC-CANDECOMP Three-Way Factor Analysis Model and Its Application to Longitudinal Data1,2 , 1981 .
[55] J. Kruskal. Three-way arrays: rank and uniqueness of trilinear decompositions, with application to arithmetic complexity and statistics , 1977 .
[56] Richard A. Harshman,et al. Determination and Proof of Minimum Uniqueness Conditions for PARAFAC1 , 1972 .
[57] Richard A. Harshman,et al. Foundations of the PARAFAC procedure: Models and conditions for an "explanatory" multi-model factor analysis , 1970 .
[58] G. Ewing. Instrumental methods of chemical analysis , 1954 .