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

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Classification, Characterization and Clustering of High-Dimensional Data