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

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/90068

Title:	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
Authors:	李彥安;Li, Yan-An
Contributors:	數學系
Keywords:	二元分類;圖訊號處理;Binary Classification;Graph Signal Processing
Date:	2022-07-26
Issue Date:	2022-10-04 12:09:56 (UTC+8)
Publisher:	國立中央大學
Abstract:	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.
Appears in Collections:	[Graduate Institute of Mathematics] Electronic Thesis & Dissertation

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