Text Box: Applications:
Static image and video data analysis
Border control (looking for drugs, people, etc. in commercial shipping cargo)
Organizing desktops and disk drive images

Capability:  
Find interesting patterns and clusters in high-dimensional data.
Predict the principal information flow paths to follow trends.
Incorporate conditional dependence and independence using PDFs.
Multi-INT, multi-sensor data fusion.

Algorithms:
Clusters data by using signatures of high-dimensional data, represented and manipulated as large sparse graphs.
Classification, characterization, conditional dependence/ independence algorithms uses the measure of the “distance” between PDFs.
High-performance, parallel implementation. Scalable from laptops to super-clusters.

P3D Codes: DDV, DDATK, OSO, NWGrid, NWPhys, GMV

Authors: Harold Trease, John Fowler, Lynn Trease, Robert Farber

Data Sources: SC2005 videos, Discovery Channel, VACIS

P3DText Box:

Feedback: Lynn Trease

Updated: 2/12/2007

Pacific Northwest National Laboratory

Operated by Battelle for the U.S. Department of Energy

Security & Privacy

Computational & Information Sciences

Directorate

 

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Classification, Characterization and 
Clustering of High-Dimensional Data