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<h1 align="center">Partial Least Squares Algorithm Implementation</h1>
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## Overview of the project
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The repository contains the Software project for the course of Adaptive Learning, Estimation and Supervision of Dynamical Systems (38095)
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held by Prof. Mazzoleni Mirko at the University of Bergamo
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## Authors
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* **FERRARI Lorenzo**, 1053161, postgraduate in Computer Engineering at University of Bergamo.
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* **LEONI Lorenzo**, 1053379, postgraduate in Computer Engineering at University of Bergamo.
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## Descrption
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Implementation of the PLS algorithm through a MATLAB class which allows:
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* to estimate the classification model using the NIPALS algorithm;
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* to validate and cross-validate it by providing some performance metrics;
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* to predict new instances starting from the trained model;
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* to calculate the best reduction order;
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* to perform a comparison with the PCA technique.
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link[Scripts\Data_analysis.mlx] contains an application example of the PLS.m class
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## Goals
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- [x] ...
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├── Images # Images
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└── README.md
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## Authors
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* Ferrari Lorenzo, 1053161
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* Leoni Lorenzo,

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