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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/139845


    Title: 以維度縮減技術為基礎的互動式探索性資料分析平臺
    A web application for interactive visual data analysis based on dimension reduction techniques
    Authors: 吳漢銘
    Wu, Han-Ming
    賴威宇
    Contributors: 統計系
    Keywords: R語言;維度縮減;網頁應用程式;探索性資料分析;視覺化
    R;Dimension reduction;Web application;Exploratory data analysis;Visualization
    Date: 2018-12
    Issue Date: 2022-04-12
    Abstract: 維度縮減技術是探索性資料分析過程中一個很重要的工具。運用維度縮減，擷取資料的特徵，並以統計圖表及視覺化方法，將資料的結構及樣態呈現於低維度空間中，有助於使用者探索潛藏於高維度資料中所包含的訊息。本研究中我們針對現存於R軟體中的多種線性演算法、非線性演算法及使用者自定的維度縮減方法，運用網路應用框架Shiny，配合Plotly開發一個互動式的資料維度縮減視覺化分析平臺，命名為drEDA。它同時具有圖形與圖形間的資料連結及維度縮減評估指標計算等功能。相較於傳統使用R語言所撰寫的靜態分析圖表，本研究所開發的視覺化分析平臺是一個有效的高維度資料探索分析工具。
    Dimensionality reduction (DR) technique is an important tool in the process of exploratory data analysis (EDA). DR can be used to extract the features of data so that the structure and patterns of data can be displayed onto the lower-dimensional subspace through the statistical graphics and visualization methods. DR benefits users to explore the information of a high-dimensional data set. In this study, we use Shiny and Plotly, the well-known web application frameworks, to develop a web-based application, namely drEDA, for interactively exploring the high-dimensional data sets based on the existing DR methods in R such as the linear, the non-linear and the customized algorithms. The GUI of the application contains the functions of linking and the brushing between scatterplots. The reports of the validation indices of DR methods are also implemented. In summary, drEDA is a powerful and an effective tool for high-dimensional data exploration comparing to the traditional static graphical methods.
    Relation: 統計與資訊評論, Vol.18, pp.19-48
    Data Type: article
    Appears in Collections:[Department of Statistics] Periodical Articles

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