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Determining of Classification Label Security/Certainty

  • Classification label security determines the extent to which predicted labels from classification results can be trusted. The uncertainty surrounding classification labels is resolved by the security to which the classification is made. Therefore, classification label security is very significant for decision-making whenever we are encountered with a classification task. This thesis investigates the determination of the classification label security by utilizing fuzzy probabilistic assignments of Fuzzy c-means. The investigation is accompanied by implementation, experimentation, visualization and documentation of the results.

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Metadaten
Author:Nana Abeka Otoo
Advisor:Thomas Villmann, Jensun Ravichandran
Document Type:Master's Thesis
Language:English
Year of Completion:2022
Granting Institution:Hochschule Mittweida
Release Date:2022/07/07
GND Keyword:Vektor; Lernendes System; Vektorquantisierung
Page Number:67
Institutes:Angewandte Computer‐ und Bio­wissen­schaften
DDC classes:621.3822 digitale Signalverarbeitung, Vektorquantisierung
Open Access:Frei zugänglich
Licence (German):License LogoUrheberrechtlich geschützt