t-SNE: a Machine-Learning Method for Data Dimensionality Reduction and Visualization – Sobia Iqbal
Sobia Iqbal
Master's thesis
t-SNE: a Machine-Learning Method for Data Dimensionality Reduction and Visualization
t-SNE: a Machine-Learning Method for Data Dimensionality Reduction and Visualization
Abstract:
In the thesis, t-SNE is introduced, discussed , and applied on various synthetic and non synthetic datasets to outline the inner working of t-SNE. The objective of the thesis is to investigate all t-SNE parameters in general, perplexity in particular. This study is intended to find a way of choosing optimal perplexity value. We use two different approaches to find optimal perplexity value. First, we …moreAbstract:
In the thesis, t-SNE is introduced, discussed , and applied on various synthetic and non synthetic datasets to outline the inner working of t-SNE. The objective of the thesis is to investigate all t-SNE parameters in general, perplexity in particular. This study is intended to find a way of choosing optimal perplexity value. We use two different approaches to find optimal perplexity value. First, we …more
Language used: English
Date on which the thesis was submitted / produced: 29. 6. 2023
Identifier:
https://vskp.vse.cz/eid/90990
Thesis defence
- Date of defence: 23. 8. 2023
- Supervisor: Miroslav Plašil
- Reader: Jan Fojtík
Citation record
Full text of thesis
Contents of on-line thesis archive
Published in Theses:- autentizovaným zaměstnancům ze stejné školy/fakulty
Other ways of accessing the text
Institution archiving the thesis and making it accessible: Vysoká škola ekonomická v Prazehttps://vskp.vse.cz/eid/90990
Vysoká škola ekonomická v Praze
Master programme / field:
Economic Data Analysis / Data Analysis and Modeling
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