1. 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 D 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