【摘要】 将平行坐标用于高维数据的可视化时,如果要展示的数据维太多,会发生可视化混乱。针对上述问题,提出一种结合主成分分析(PCA)和平行坐标的数据可视化方法PPCP。利用PCA方法对高维数据进行有效的降维处理,将降维后的数据进行平行坐标可视化展示。实验结果证明,该方法能有效地揭示高维数据之间的关系。更多还原

【Abstract】 Parallel coordinates can be used in high-dimensional data visualization,but when the data dimension to be displayed is too large,visual clutter may occur.This paper proposes a data visualization method named PPCP,which combines Principal Component Analysis(PCA) and parallel coordinate.PCA is used for effective dimension reduction on high-dimensional data,and the processed data are displayed in the way of parallel coordinate visualization.Experimental results show that it is effective to reveal the relationships among high-dimensional data.更多还原