Code supporting Unsupervised machine learning applied to scanning precession electron diffraction data
Description
The python code supplied here enables the reproduction of the figures presented in the publication as as set of executable python files. Also supplied is a complete static copy of the software used for data clustering, which was written for the publication.
Format
A README is included detailing dependencies. The most important include numpy (http://www.numpy.org/), matplotlib (https://matplotlib.org/), scikit-image (https://scikit-image.org/), HyperSpy (http://hyperspy.org/), and pyXem (http://pyxem.github.io/pyxem/),
Keywords
python, linear decomposition, multivariate analysis, clustering
Relationships
Related Item: https://doi.org/10.17863/CAM.26432
Publication Reference: https://doi.org/10.1186/s40679-019-0063-3
Sponsorship
The Royal Society (uf130286)
European Research Council (291522)
Identifiers
This record's DOI: https://doi.org/10.17863/CAM.26444
Rights
GNU General Public License version 3 (GPLv3)
Licence URL: https://www.gnu.org/licenses/gpl-3.0.html
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.