Classification of gravure printed patterns using singular value decomposition and machine learning (MATLAB code)
Date
2023Author
Description
This dataset contains MATLAB code ('code_MachLearn_ImgClass.zip') for automated classification of gravure printed patterns from the HYPA-p dataset. The developed algorithm performs singular value decomposition (SVD) and training of several machine learning classifiers, such as k-Nearest Neighbors (kNN). The classifiers are trained and tested on labeled data. Afterwards, the trained classifiers can be used for automated classification of unlabeled data.
Further information can be found in the provided README-file.
Further information can be found in the provided README-file.
Subject
MATLAB code;reduced-order modeling;pattern classification;singular value decomposition;machine learning;gravure printing;hydrodynamic pattern formationDFG subject classification
4.21-03 Mechanische Verfahrenstechnik4.22-03 Strömungsmechanik
4.31-03 Beschichtungs- und Oberflächentechnik
Related third party funded projects
DFG | SFB1194 | TP C01 DörsamCollections
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Except where otherwise noted, this item's license is described as Creative Commons Attribution-NonCommercial 4.0