基于维约束的平行坐标可视化及其在数据聚类中的应用

Parallel coordinates visualization based on dimension constraints and application on data clustering

平行坐标可视化是数据可视化方法中的典型代表.在平行坐标法可视化的基本原理的基础上,实现了在数据可视化过程中嵌入维度限制条件,探讨了在维约束条件下的平行坐标可视化技术.以海洋监测台站数据为例,开发了DBSCAN聚类算法,并利用平行坐标对聚类的结果进行可视化表达.

Parallel coordinates is the typical representatives in the data visualization. This article discusses the dimension constraint parallel coordinates on the basis of summarizing the fundamental principle of parallel coordinates visualization. DBSCAN cluster algorithm is developed, and the clustering result is visualized in parallel coordinates as the example of ocean monitor platform data.