Version 1.0.0
This repository contains a MATLAB app to build intuition on latent variable approaches and regression approaches in general.
The LAVADE software contains processed data (ATR-FTIR spectra, Raman Spectra, LFP Battery Data, more information can be found here https://www.sciencedirect.com/science/article/abs/pii/S0098135422003489 And here (open access): https://arxiv.org/abs/2205.08132
The app was written in MATLAB_R2021a by using the MATLAB app designer toolbox. If you want an installable version that does not require a MATLAB license, please drop me a message.
Structure: The folder code contains the source code. 01Code/lavade.mlapp Main file of the app. Data.m Data class definition, modify this class including functions to implement your own/additional datasets.
Feel free to start a python version; I'd be happy to assist and to host it here too.
For bugs and feedback:
joachim.schaeffer@posteo.de
Have fun!
Joachim Schaeffer
Please cite this Software as:
Joachim Schaeffer, Richard D. Braatz,
Latent Variable Method Demonstrator — software for understanding multivariate data analytics algorithms,
Computers & Chemical Engineering,
Volume 167,
2022,
108014,
ISSN 0098-1354,
https://doi.org/10.1016/j.compchemeng.2022.108014.
@article{schaeffer2022lavade, author = {Joachim Schaeffer and Richard D. Braatz}, doi = {https://doi.org/10.1016/j.compchemeng.2022.108014}, issn = {0098-1354}, journal = {Computers & Chemical Engineering}, keywords = {Education, Teaching, Data analytics, Software, Machine learning}, pages = {108014}, title = {Latent Variable Method Demonstrator --- software for understanding multivariate data analytics algorithms}, url = {https://www.sciencedirect.com/science/article/pii/S0098135422003489}, volume = {167}, year = {2022} }