博碩士論文 92522005 詳細資訊




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姓名 陳信伊(Hsin-Yi Chen)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 星狀座標之軸排列於群聚視覺化之應用
(Axes Arrangement in Star Coordinates for Numerical Data Visualization)
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摘要(中) 視覺化方法使用圖形來表達資料所包含的資訊,因為以圖解的方式比資料本身更能讓人一目了然。Star Coordinates是一種以座標軸為基礎的多維度資料視覺化方法,將每一筆資料投影到二維平面上的一個點,讓使用者在資料探勘的初期得到資料的概觀。本篇論文提出一種自動化座標軸排列方法應用於Star Coordinates,擷取多維度資料中各屬性的相關性,利用遺傳演算法計算出一組最佳化之座標軸排列方式,藉此調整Star Coordinates中座標軸的排列順序與夾角,增強資料的群聚現象以改善Star Coordinates視覺化的結果,並提供自動播放工具,呈現一系列經過座標軸排列後的圖形,使用者可以在觀看圖形的過程中獲得資料隱藏的資訊。透過自動化的座標軸排列,使用者可以省略複雜的座標軸操作,並藉由視覺化圖形分析多個維度之間的共同關係,觀看資料之間群聚的趨勢,並檢視資料分佈中的異常狀況,掌握資料的主要特徵。
關鍵字(中) ★ 資訊視覺化
★ 多維度
★ 星狀座標
★ 遺傳演算法
關鍵字(英) ★ Information Visualization
★ Multidimension
★ Star Coordinates
★ Genetic Algorithm
論文目次 第1章 緒論.....................................................................................................................................- 1 -
1.1 本篇論文的貢獻........................................................................................................................- 3 -
1.2 論文架構...................................................................................................................................- 4 -
第2章 相關研究..............................................................................................................................- 5 -
2.1 降低維度的方法........................................................................................................................- 6 -
2.2 高維度資料視覺化方法............................................................................................................- 9 -
2.3 比較與討論..............................................................................................................................- 18 -
第3章 系統架構............................................................................................................................- 20 -
3.1 座標軸排列(AXES ARRANGEMENT)...................................................................................- 21 -
3.1.1 遺傳演算法(Genetic Algorithm)簡介.............................................................- 22 -
3.1.2 編碼(Encoding)...............................................................................................- 24 -
3.1.3 適應值的評估(Fitness evaluation)..................................................................- 25 -
3.1.4 交配與突變運算...................................................................................................- 29 -
3.2 自動播放(AUTO PLAY).......................................................................................................- 32 -
第4章 實驗結果與討論................................................................................................................- 34 -
4.1 座標軸排列的實驗..................................................................................................................- 35 -
4.2 評估方法.................................................................................................................................- 41 -
4.3 執行時間的評估......................................................................................................................- 42 -
4.4 自動播放.................................................................................................................................- 43 -
4.5 實驗討論.................................................................................................................................- 46 -
第5章 結論...................................................................................................................................- 47 -
參考文獻..............................................................................................................................................- 49 -
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[27]. The data has been taken from the UCI Repository of Machine Learning Databases at ftp://ftp.ics.uci.edu/pub/machine-learning-databases.
[28]. T. Soon and M. Kwan: “StarClass: Interactive Visual Classification Using Star Coordinates” In Proc. of the 3rd SLAM International Conference on Data Mining, 2003.
指導教授 張嘉惠(Chia-Hui Chang) 審核日期 2005-7-13
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