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 (Unpublished) (doi:10.5281/zenodo.4495483) (The full text of this publication is not currently available from this repository.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 |
|---|---|
| DOI/Identification number: | 10.5281/zenodo.4495483 |
| Uncontrolled keywords: | Principal Component Analysis |
| Subjects: |
Q Science > QC Physics > QC173.45 Condensed Matter REF2014 Units of Assessment > Main panel C > C19 Business and Management Studies > QC173.45 Condensed Matter Q Science Q Science > QC Physics |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Physics and Astronomy |
| Former Institutional Unit: |
Divisions > Division of Natural Sciences > Physics and Astronomy
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| Funders: | [37325] UNSPECIFIED |
| Depositing User: | Jorge Quintanilla |
| Date Deposited: | 26 Aug 2022 13:10 UTC |
| Last Modified: | 20 May 2025 09:47 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/96641 (The current URI for this page, for reference purposes) |
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https://orcid.org/0000-0001-9820-4615
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