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.
Author: | Nana Abeka Otoo |
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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): | Urheberrechtlich geschützt |