Visualization of Multi-dimensional Data Based on Cluster Region
Yongzhan Chen · Jisuanji fangzhen · 2013
When there is substantial overlap in parallel coordinates,overlapping segment,it is difficult to intuitively understand data distribution regularity and characteristics of the problem.A kind of multidimensional data visualization method was put forward based on the class interval.First according to the distribution features of the data for the data clustering,then according to the size of the weights of each class to determine all kinds of the width of the interval,and according to the class interval mutex principle to adjust the position of the center of class,each class interval was made independent of each other.This method was applied to pesticide residue detection standard data analysis,to form a good visual effect,for the field staff to provide a highly efficient,simple data visualization and analysis tools.