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Author: Daisuke Matsuyoshi (National Institute for Radiological Sciences (QST-NIRS) andAraya, Inc.)

Implementation of DISTATIS written in MATLAB. DISTATIS is a generalization of classial multidimensional scaling and handlesm sets of data tables collected on the same set ofn observations, combining datasets into a common consensus structure, called "compromise."

[eigval,eigvector,fscore,eigval3,eigvector3,fscore3]= distatis(data);

• data should be a 3D distance (dissimilarity) matrix [n x n x m].
  • n x n distance matrices stacking along 3rd dimensionm times
• For example usage, seedistatis_demo.m

• eigval - Eigenvalues for compromise
• eigvector - Eigenvector for compromise
• fscore - Factor score for compromise
• eigval3 - Eigenvalues for dim 3
• eigvector3 - Eigenvector for dim 3
• fscore3 - Factor score for dim 3

• Abdi H, Toole AJO, Valentin D, Edelman B (2005)DISTATIS: The analysis of multiple distance matrices. IEEE CVPR 2005, 42-47. doi: 10.1109/CVPR.2005.445
• Abdi H, Valentin D, Chollet S, Chrea C (2007)Analyzing assessors and products in sorting tasks: DISTATIS, theory and applications. Food Qual Prefer 18:627-640. doi: 10.1016/j.foodqual.2006.09.003

The DISTATIS_matlab is free but copyright software, distributed under the terms of theBSD 3-Clause "New" or "Revised" License.

Copyright (C) 2020-2022 Daisuke Matsuyoshi

This program is free software: you can redistribute it and/or modify it under the terms of the BSD 3-Clause "New" or "Revised" License.

This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the BSD 3-Clause "New" or "Revised" License for more details.

You should have received a copy of the BSD 3-Clause "New" or "Revised" License along with this program. If not, seehttps://opensource.org/licenses/BSD-3-Clause.