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Open Access

Classification of gravure printed patterns using singular value decomposition and machine learning (MATLAB code)

Files

README_MachLearn_ImgClass.txt () (10.03 KB)

code_MachLearn_ImgClass.zip () (269.47 MB)

dots_all.mat () (4.34 GB)

fingers_all.mat () (6.41 GB)

mixed_all.mat () (1.74 GB)

Date

2023-05-16

Type

Text
Software
Image
Other

Authors

Rothmann-Brumm, Pauline

Description

This dataset contains MATLAB code ('code_MachLearn_ImgClass.zip') for automated classification of gravure printed patterns from the [HYPA-p](https://doi.org/10.48328/tudatalib-1150) 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.

Keywords

MATLAB code, reduced-order modeling, pattern classification, singular value decomposition, machine learning, gravure printing, hydrodynamic pattern formation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3843

DFG Classification

4.21-03 Mechanische Verfahrenstechnik
4.22-03 Strömungsmechanik
4.31-03 Beschichtungs- und Oberflächentechnik

Project(s)

DFG | SFB1194 | TP C01 Dörsam

License

CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International

Except where otherwise noted, this license is described as CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International