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PCA toolbox for matlab

version 1.5 (701 KB) by davide ballabio
The PCA toolbox for MATLAB is a collection of MATLAB modules for calculating unsupervised multivariate models for data structure analysis

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Updated 15 Oct 2021

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PCA toolbox for MATLAB

The PCA toolbox for MATLAB is a collection of MATLAB modules for calculating unsupervised multivariate models for data structure analysis: Principal Component Analysis (PCA), Multidimensional Scaling (MDS) and Cluster Analysis.

This is the version 1.5 of the PCA toolbox for MATLAB

PCA toolbox for MATLAB has been released by Milano Chemometrics and QSAR research Group. Visit our website at www.michem.unimib.it


INSTALLING THE TOOLBOX

MATLAB should be installed, while the Statistics Toolbox is needed to compute Cluster Analysis and Multidimensional Scaling. In order to install the toolbox, simply copy the files to a folder (e.g. "PCA toolbox for MATLAB"). Then, in order to use it, select the same folder as MATLAB current directory.


STARTING CALCULATIONS

Before starting calculations, please read the HELP files provided in HTML format. A complete guide on how to calculate models is provided.


HELP FILES

Help files are provided in HTML format. Open the help.htm file in your favourite browser and read it!


CONDITIONS

The toolbox is freeware and may be used if proper reference is given to the authors. Preferably refer to the following paper: D. Ballabio (2015), A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure Chemometrics and Intelligent Laboratory Systems, 149 Part B, 1-9


LICENCE

The PCA toolbox for MATLAB is distributed with an Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence: https://creativecommons.org/licenses/by-nc-nd/4.0/ You are free to share - copy and redistribute the material in any medium or format. The licensor cannot revoke these freedoms as long as you follow the following license terms: Attribution - You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. NonCommercial - You may not use the material for commercial purposes. NoDerivatives - If you remix, transform, or build upon the material, you may not distribute the modified material.


WEB CONTACTS

Download the toolbox or check updates here: http://www.michem.unimib.it/ Write us for comments, questions or if you find bugs we didn't see! davide.ballabio@unimib.it


HAVE FUN!!!

Cite As

D. Ballabio (2015), A MATLAB toolbox for Principal Component Analysis and unsupervised exploration of data structure, Chemometrics and Intelligent Laboratory Systems, 149 Part B, 1-9

MATLAB Release Compatibility
Created with R2019a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.