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PCA_Exp

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 (Unpublished) (doi:10.5281/zenodo.4495483) (The full text of this publication is not currently available from this repository.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
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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