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. A graphical user interface (GUI), which allows an easy model calculation and analysis of results, is provided with the toolbox.

Help files
HTML files are provided toghter with the MATLAB files in order to help the user. The HTML help explains how to prepare your data, how to handle the model settings and how to calculate the models. An example of analysis is shown.

Conditions and warranty
The toolbox is freeware and may be used if proper reference is given to the authors. Preferably refer to the followign papers:
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 [link] The PCA toolbox for MATLAB is distributed with an Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence:
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.

Fill in the following form. Your personal data will be used only for notification via email of new releases of the toolbox and will not be communicated to external third parties. Once the form has been submitted, download the rar file containing the toolbox on a local folder, unzip the rar file and extract all the Matlab modules in a unique folder. Before starting calculations, please read the HELP files provided in HTML format. A complete guide on how to calculate models is provided. If you experience any problem to downlaod the toolbox, write to davide.ballabio@unimib.it.