一种基于PCA技术的像素图可视化方法
首发时间:2015-01-19
摘要:PCA(主元分析)是数据挖掘领域中一种常用的数据分析方法。当数据的维度非常高时,各类可视化方法都无法清晰的表现所有的数据细节。对于这种情况,本文提出了一种基于PCA和像素图技术的可视化方法。该方法在减少数据集维度的同时,利用不同颜色的像素显示多元数据。实验表明,该方法在合理的空间布局下可以有效的展示复杂数据中隐含的关系和信息。
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Pixel chart visualization methods based on PCA technology
Abstract:PCA (Principal component analysis) is a commonly methods which used in the field of data mining and the field of data analysis. When the dataset has large amount of attributes, common methods can't show all the details. Therefore, we propose a visualization methods based on PCA and pixel chart technique. This method not only reduce the dimensions of the dataset set but also use different colors of pixels to display multivariate dataset. Experiments show that this method can effectively display complex data relationships and information in a reasonable space layout.
Keywords: Data Visualization Principal component analysis pixel chart Data mining
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