Discover the methods used to merge your various databases (spectroscopic, physicochemical, etc.).
Type of session
Software
Duration
Target audience
Pre-requisite
⚠ This training session in data fusion is an advanced course, requiring a solid knowledge of basic chemometrics methods: PCA, PLS, and discriminant analysis methods.
Objectives
This training session in data fusion methods is dedicated to people who wish to:
- Learn data fusion methods for quantitative analysis
- Become proficient in the multiblock processing of their data
- Assimilate the key steps of the methodology for merging data from various sources (laboratory analysis, optical measurements, process data, etc.)
During the training, the principles of the methods are introduced using a non-mathematical approach. Emphasis is placed on the practical use of methods and the result interpretation.
Practical exercises based on a dataset are provided for each method. The training will be conducted using Solo® or PLS Toolbox® software from Eigenvector Research Inc.
You need a specific training session ?
Our team is at your disposal to offer you personalized training.
Program
- Chemometrics methods overview
- Introduction
- Exploratory analysis : PCA
- Pre-processing
- Linear multivariate regression models (PLS)
- Data fusion methods
- Principle of data blocks combining
- The 3 levels of data fusion
- Block pre-processing
- Conclusions on multi-block data analysis
- Application on dataset and software
- Questions & Answers
- Evaluation Quizz
If one of your employees has a disability and requires specific accommodations, we will adapt the training accordingly.
Our trainers
They talk about us
I think that Ondalys brought us here a knowledge we did not have. (…) I think that between a company and a research institute, it is expected that the research organization would bring competences to the company. But during the CHAMAN project, I must say that Ondalys brought us skills in terms of multi-block data processing, this expertise that we did not have internally.Our expertise to process your spectral data
With over 20 years of experience in Chemometrics and Machine Learning applied to spectral data, our expert team supports you at every step of your projects.
