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| 研究生： |
李彥安 Yan-An Li |
|---|---|
| 論文名稱： |
機器學習中兩種二元分類方法的實現與比較 Implementation and Comparative Study of Two Types of Binary Classification Methods in Machine Learning |
| 指導教授： |
葉鴻國
Hong-Gwa Yeh |
| 口試委員: | |
| 學位類別： |
碩士 Master |
| 系所名稱： |
理學院 - 數學系 Department of Mathematics |
| 論文出版年： | 2022 |
| 畢業學年度： | 110 |
| 語文別： | 英文 |
| 論文頁數： | 26 |
| 中文關鍵詞： | 二元分類 、圖訊號處理 |
| 外文關鍵詞： | Binary Classification, Graph Signal Processing |
| 相關次數： | 點閱：6 下載：0 |
| 分享至: |
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本報告的主要目的是考慮機器學習中的兩種二元分類方法：一種是基於譜圖論 (spectral graph theory) 的，一種是基於圖信號處理 (graph signal processing) 的。我們在 PolBlogs 圖上用 Python 程式語言實現它們並比較運算結果。
In this report we consider two types of binary classification methods in machine learning: one is based on spectral graph theory, and the other is based on graph signal processing. We implement them in Python on the PolBlogs graph and compare the outcomes.
Please cite this paper as:
Yan-An Li, ”Implementation and Comparative Study of Two Types of Binary Classification Methods in Machine Learning”, MSc thesis (supervised by Prof. Hong-Gwa Yeh), National
Central University, July 2022.
References
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[2] A. Sandryhaila and J. M. F. Moura, Discrete signal processing on graphs, IEEE Trans. Signal
Processing, 61 (2013) 1644-1656.
[3] Ljubiša Stankovic, Danilo Mandic, Miloš Daković, Ilya Kisil, Ervin Sejdić, Anthony G. Constantinides, Understanding the Basis of Graph Signal Processing via an Intuitive Example-Driven
Approach, IEEE Signal Processing Magazine 36 (November 2019) 133-145.
[4] Ulrike von Luxburg, A tutorial on spectral clustering Stat. Comput, 17 (2007) 395-416.
[5] Hong-Gwa Yeh, Class Notes for Seminar, Fall 2021 and Spring 2022, National Central
University, Taiwan.
