A network-based interface for the exploration of high-dimensional data spaces
A network-based interface for the exploration of high-dimensional data spaces
复制标题
用于探索高维数据空间的基于网络的接口
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
K. Mueller
中科院分区：
文献类型：
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作者：
Zhiyuan Zhang;K. T. McDonnell;K. Mueller
高维数据空间的导航仍然具有挑战性，使得多元数据探索变得困难。为了有效和吸引主流应用程序，导航应该使用用户已经熟悉的范例和隐喻。一种直观的导航范例是连接网络上的交互式路线规划。我们采用了这样的接口，并将其与一个突出的高维可视化范例配对，以未失真的原始形式显示N-D数据：平行坐标。在我们的网络接口中，维度形成节点，这些节点由代表维度之间关联强度的边网络连接。然后，用户交互式地指定要访问的节点/边，并且系统计算最佳路线，该最佳路线可以被进一步编辑和操纵。在我们的界面中，此路径由平行坐标数据显示捕获，其中尺寸排序由指定路径配置。我们的框架既是一个数据探索环境，也是一个交互式演示平台，用于展示、解释和证明任何已识别的关系。我们将在业务场景和其他应用程序中演示我们的接口。
The navigation of high-dimensional data spaces remains challenging, making multivariate data exploration difficult. To be effective and appealing for mainstream application, navigation should use paradigms and metaphors that users are already familiar with. One such intuitive navigation paradigm is interactive route planning on a connected network. We have employed such an interface and have paired it with a prominent high-dimensional visualization paradigm showing the N-D data in undistorted raw form: parallel coordinates. In our network interface, the dimensions form nodes that are connected by a network of edges representing the strength of association between dimensions. A user then interactively specifies nodes/edges to visit, and the system computes an optimal route, which can be further edited and manipulated. In our interface, this route is captured by a parallel coordinate data display in which the dimension ordering is configured by the specified route. Our framework serves both as a data exploration environment and as an interactive presentation platform to demonstrate, explain, and justify any identified relationships to others. We demonstrate our interface within a business scenario and other applications.