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Python Implementation of the SUBSCALE Algorithm

  • This thesis deals with the implementation of the SUBSCALE algorithm in the Python programming language. First, the current state of research and the needs of the target group are considered. Then, the choice of language is decided based on the findings. On the basis of self-generated requirements, the implementation is carried out. Finally, the code is evaluated for accuracy, consistency, andThis thesis deals with the implementation of the SUBSCALE algorithm in the Python programming language. First, the current state of research and the needs of the target group are considered. Then, the choice of language is decided based on the findings. On the basis of self-generated requirements, the implementation is carried out. Finally, the code is evaluated for accuracy, consistency, and execution time, as well as its applicability in practice. Since the implementation of the current work proved to be unconvincing, an approach is tested in which Python is used only as a front-end.zeige mehrzeige weniger

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Metadaten
Dokumentart:Bachelor Thesis
Zitierlink: https://opus.hs-offenburg.de/4778
Bibliografische Angaben
Titel (Englisch):Python Implementation of the SUBSCALE Algorithm
Verfasserangaben:Stanislav RaminGND
Betreuer*in:Tobias LauerStaff MemberORCiDGND, Jürgen PrinzbachStaff MemberGND
Erscheinungsjahr:2021
Datum der Abschlussprüfung:05.05.2021
Veröffentlichende Institution:Hochschule Offenburg
Titel verleihende Institution:Hochschule Offenburg
Verlagsort:Offenburg
Seitenanzahl:IV, III, 57
Sprache:Englisch
Inhaltliche Informationen
Fakultäten / Einrichtungen:Fakultät Elektrotechnik, Medizintechnik und Informatik (EMI) (ab 04/2019)
Sammlungen der Hochschule Offenburg:Abschlussarbeiten / Bachelor-Studiengänge / AI
DDC-Sachgruppen:000 Allgemeines, Informatik, Informationswissenschaft
Freies Schlagwort / Tag:Clustering
Formale Angaben
Open-Access-Status: Closed Access 
Lizenz (Deutsch):License LogoCreative Commons - CC0 1.0 - Universell - Public Domain Dedication
SWB-Katalog-Nr.:1830988867