Graph-based methods for orbit classification

Proceedings of the Sixth SIAM International Conference on Data Mining

Volumn 2006, Issue , 2006, Pages 574-578

  Bagherjeiran, Abraham ^b   Kamath, Chandrika ^a  

^a LAWRENCE LIVERMORE NATIONAL LABORATORY   (United States)

^b NONE

Author keywords

Classification; Orbit; Poincar plot

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA REDUCTION; FUSION REACTORS; LEARNING ALGORITHMS; LEARNING SYSTEMS; ORBITS;

LOW-COST FUSION POWER; ORBIT CLASSIFICATION; POINCARÉ PLOT; TOROIDAL DEVICE;

GRAPHIC METHODS;

EID: 33745466260     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972764.63     Document Type: Conference Paper

References (7)

1. A. Bagherjeiran and C. Kamath. Graph-based methods for orbit classification (extended version). Technical Report UCRL-CONF-215802, Lawrence Livermore National Laboratory, 2005.
2. A. Bagherjeiran and C. Kamath. Graph-based techniques for orbit classification: Early results. Technical Report UCRL-TR-215690, Lawrence Livermore National Laboratory, 2005.
3. C. Bailey-Kellogg and F. Zhao. Qualitative spatial reasoning: extracting and reasoning with spatial aggregates. AI Magazine, 24(4):47-60, 2004.
4. Ian H. Witten and Eibe Frank. Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann, San Francisco, 2nd edition, 2005.
5. K. Yip and F. Zhao. Spatial aggregation: Theory and applications. Journal of Artificial Intelligence Research, 5:1-26, 1996.
6. Kenneth Man-Kam Yip. KAM: A System for Intelligently Guiding Numerical Experimentation by Computer. MIT Press, 1991.
7. F. Zhao. Extracting and representing qualitative behaviors of complex systems in phase space. Artificial Intelligence, 69:51-92, 1994.