Visual clustering in parallel coordinates
文献类型：期刊论文
| 作者 | Hong Zhou ; Xiaoru Yuan ; Huamin Qu ; Weiwei Cui ; Baoquan Chen |
| 刊名 | COMPUTER GRAPHICS FORUM
 |
| 出版日期 | 2008 |
| 卷号 | 27期号:3页码:1047-1054 |
| 英文摘要 | Parallel coordinates have been widely applied to visualize high-dimensional and multivariate data, discerning patterns within the data through visualclustering. However, the effectiveness of this technique on large data is reduced by edge clutter In this paper, we present a novel framework to reduce edge clutter, consequently improving the effectiveness of visual clustering. We exploit curved edges and optimize the arrangement of these curved edges by minimizing their curvature and maximizing the parallelism of adjacent edges. The overall visual clustering is improved by adjusting the shape of the edges while keeping their relative order The experiments on several representative datasets demonstrate the effectiveness of our approach. |
| 收录类别 | SCI |
| 原文出处 | http://vis.pku.edu.cn/research/publication/eurovis08_visual.pdf |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2237]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 推荐引用方式 GB/T 7714 | Hong Zhou,Xiaoru Yuan,Huamin Qu,et al. Visual clustering in parallel coordinates[J]. COMPUTER GRAPHICS FORUM,2008,27(3):1047-1054. |
| APA | Hong Zhou,Xiaoru Yuan,Huamin Qu,Weiwei Cui,&Baoquan Chen.(2008).Visual clustering in parallel coordinates.COMPUTER GRAPHICS FORUM,27(3),1047-1054. |
| MLA | Hong Zhou,et al."Visual clustering in parallel coordinates".COMPUTER GRAPHICS FORUM 27.3(2008):1047-1054. |
入库方式： OAI收割
来源：深圳先进技术研究院
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