多元数据的平行坐标是信息可视化的主流技术之一。
Parallel coordinates is one of the mainstream technology of information visualization.
提出平行坐标数据可视化技术与分类算法集成到一起进行可视化数据分类的方法。
A method of visual data classifying is improved by integrating visual technology of parallel coordinates with data classification algorithms.
本文提出一种利用平行坐标图的多元信息表示对主成分分析特征提取方法进行优化的分类技术。
A novel method for optimizing the principle component analysis in feature extraction is proposed, which making use of parallel coordinate plot for graphical presentation of multivariate information.
提出了一种基于平行坐标可视化技术的查找新方法，将资源多维状态数据映射到二维空间。
A new visualization method for resource searching based on parallel coordinate is presented to map multi-dimensional data to two-dimensional space.
提出了一种基于平行坐标可视化技术的查找新方法，将资源多维状态数据映射到二维空间。
A new visualization method for resource searching based on parallel coordinate is presented to map multi-dimensional data to two-dimensional space.
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