Revealing Correlation of Large Data Using Histogram of Parallel Coordinates Displays Xin Zhao and Arie Kaufman Computer Science Department, Stony Brook University Pipeline of large data analysis and display Concepts of parallel coordinates (PC) Image Acquisition Image Segmentation Parameters Extraction A way to represent multidimensional information One vertical axis corresponds to one variable A point is represented as a polyline Visualize high dimensional information Histogram Display in PC Proposed correlation revealing Direct relations Reverse Select major lines in the histogram Calculate histogram 2D PC display 3D PC display Advantages of our proposed method Process complex, dynamics and large datasets Remove unrelated information Revealing parameter correlation quickly & accurately Applications Exploration of large datasets High dimension reduction Transfer function design for rendering High dimensional reduction Outstanding major parameters CT bonsai Foot Carp Tooth Volume rendering results using PC based transfer function