| 用于数据挖掘的多维数据可视化技术 |
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| 引用本文： | 黄江涛,刘自伟,黄晓芳. 用于数据挖掘的多维数据可视化技术[J]. 兵工自动化, 2005, 24(3): 52-53 |
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| 作者姓名： | 黄江涛 刘自伟 黄晓芳 |
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| 作者单位： | 西南科技大学,计算机科学学院,四川,绵阳,621002;西南科技大学,计算机科学学院,四川,绵阳,621002;西南科技大学,计算机科学学院,四川,绵阳,621002 |
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| 摘 要： | 用于数据挖掘的多维数据可视化技术,将多维数据通过平行坐标、圆形分段或多维缩放变换以二维图形显示.平行坐标用其坐标点显示变量,直线连接坐标点为折线.圆形分段以每个彩色像素点映射一个值,并将每一维的数据在不同区域显示.多维缩放则在尽可能保留数据点间距的同时,在低维空间内表示多维数据.
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| 关 键 词： | 数据挖掘 数据可视化 平行坐标 圆形分段 多维缩放 |
| 文章编号： | 1006-1576(2005)03-0052-02 |
| 修稿时间： | 2004-11-16 |
Multi-Dimensional Data Visualization Technique for Data Mining |
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| HUANG Jiang-tao,LIU Zi-wei,HUANG Xiao-fang. Multi-Dimensional Data Visualization Technique for Data Mining[J]. Ordnance Industry Automation, 2005, 24(3): 52-53 |
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| Authors: | HUANG Jiang-tao LIU Zi-wei HUANG Xiao-fang |
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| Abstract: | For multi-dimensional data visualization (MDV) technique for data mining, multi-dimensional data is switched into two-dimensional graphics display through parallel coordinate, partitioning section of rotundity, multi-dimensional zoom. Variable is shown with coordinate mark of parallel coordinate, and coordinate marks are connected with beeline. Each colorized pixel point maps a value, and a dimensional data is displayed in different section for partitioning section of rotundity. For multi-dimensional zoom, the space between data points is reserved at the same time, multi-dimensional data is shown in two-dimensional space. |
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| Keywords: | Data mining Data visualization Parallel coordinate Partition section of rotundity Multi-dimensional zoom |
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