📄 contents.m
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%Contents of the three-way chemometrics toolbox,
%Foodtechnology, Copenhagen, Rel. 10-06-95
%
% PROGRAMS FOR SOLVING MODELS --------------------------------------
%
% These programs are used for solving tri-linear models.
% Use the 'help xxxxx' command on each program to get more help
% on each of the models.
%
% ftupca01 Solutions provided by simple unfolding,
% also known as unfold-PCA or TUCKER1-solutions.
% MUST be available for all other programs.
%
% fttuck01 Solutions to the TUCKER3 model,
% unconstrained.
%
% fttuck02 Has been removed!
%
% fttuck03 Solutions to the TUCKER3 model,
% normalized A, B and C.
%
% fttuck04 Solutions to the TUCKER3 model,
% non-iterative, EVP-solutions.
%
% ftpara01 Solutions to the PARAFAC/CANDECOMP model,
% unconstrained and accelerated.
%
% ftpara02 Solutions to the PARAFAC/CANDECOMP model,
% unconstrained but not accelerated.
%
% ftpara03 Solutions to the PARAFAC/CANDECOMP model,
% constrained B and C giving score-like A's.
%
% fttpls01 Derives the PLS-factors from X- and Y-data.
%
% ftgram01 Uses Generalized Rank Annihilation Method
% to calculate the concentration of any specie
% in an array, provided that an array with the
% specie in known concentration is available.
%
% PROGRAMS FOR CALCULATING PREDICTIONS -----------------------------
%
% These programs rely on the programs above. Predictions
% based on multivariate three-way structures can only
% be performed if calibration data is available. If you have
% some known features (Y-data) of X-data, these programs can
% provide predictions of features of NEW X-data.
%
% ftupcap1 Uses unfold-PCA to establish the parameters
% for prediction of the calibrated features of
% new samples. Not to be recommended!
%
% fttuckp1 Performs calibration on sampled X-data with
% its belonging Y-data by the TUCKER3-model.
% After calibration, new X-data can have
% its Y-values predicted.
%
% ftparap1 The PARAFAC/CANDECOMP model is used to provide
% scores and loadings of the calibration set so
% that future samples can have its features predicted.
%
% fttplsp1 Uses the PLS-regression philosophy to perform
% predictions. This will propably provide the best
% predictions due to the inherent optimization of
% the describence of the variation in Y.
% Currently being revised!
%
% SPECIALITIES -----------------------------------------------------
%
% ftopti01 Facilitates speed improvements by calculating
% solutions to reduced problems and using
% interpolations between these solutions
% as start guesses to the total problem.
%
% NECESSARY UTILITIES ----------------------------------------------
%
% fnipals1 Calculates the eigenvectors of any matrix using
% the power method. Often faster than SVD() and EIG()
% when matrices are large and not as critical on mem.
% The more alike the eigenvalues are the better
% the time-gain will be.
%
% ftfixfom Needed by the tuckerprograms for (re)arranging cubes.
%
% ftscale Used for preprocessing the data.
%
% NEW PROGRAMS BEING DEVELOPED -------------------------------------
%
% - The programs already in this collection will continuously be
% refined and optimized and the new versions will be published
% as soon as they have been tested.
% - Programs for doing cross-validation (CV) will be released during
% late april.
% - Soon, also four-, five- and higher-way procedures will be
% published. In addition we also work with four-way TUCKER models.
%
%
% Contact us:
% If you have any comments, questions, suggestions or the like
% don't hesitate to mail us here at Foodtechnology.
% E-mail adresses : claus.andersson@pop.foodsci.kvl.dk
% rasmus.bro@pop.foodsci.kvl.dk
% larsn@pop.foodsci.kvl.dk
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