Tula, Tymoteusz and Möller, Gunnar and Quintanilla, Jorge and Barker, Dylan S and Gibson, Stuart J. (2021) PCA_Exp. University of Kent Github. 10.5281/zenodo.4495483. (Unpublished) (doi:10.5281/zenodo.4495483) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:96641)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication) | |
Official URL: https://github.com/TymoteuszTula/PCA_Exp/tree/v0.1 |
Abstract
Software that automatize performing principal component analysis on a set of measurements from experiment, stored in textfiles. Software is developed to be used as a python package.
Item Type: | Software |
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DOI/Identification number: | 10.5281/zenodo.4495483 |
Uncontrolled keywords: | Principal Component Analysis |
Subjects: |
Q Science > QC Physics > QC173.45 Condensed Matter Q Science Q Science > QC Physics |
Divisions: | Divisions > Division of Natural Sciences > Physics and Astronomy |
Funders: | Engineering and Physical Sciences Research Council (https://ror.org/0439y7842) |
Depositing User: | Jorge Quintanilla Tizon |
Date Deposited: | 26 Aug 2022 13:10 UTC |
Last Modified: | 30 Aug 2022 09:00 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/96641 (The current URI for this page, for reference purposes) |
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