Two clustering techniques are used to map ASDEX Upgrade high-dimensional operational space. The produced mapping exploits the similarities of the data by grouping similar data items together, allowing to identify characteristic regions for plasma scenarios. In particular, the 2D SOM projects high-dimensional plasma states to a 2D map that can be easily visualised and understood. The database consists of 7 plasma parameters from 229 shots carried out during the operation of ASDEX between June 2002 and July 2004.
Mapping of the ASDEX Upgrade Operational Space using Clustering Techniques
CANNAS, BARBARA;FANNI, ALESSANDRA;SIAS, GIULIANA;
2007-01-01
Abstract
Two clustering techniques are used to map ASDEX Upgrade high-dimensional operational space. The produced mapping exploits the similarities of the data by grouping similar data items together, allowing to identify characteristic regions for plasma scenarios. In particular, the 2D SOM projects high-dimensional plasma states to a 2D map that can be easily visualised and understood. The database consists of 7 plasma parameters from 229 shots carried out during the operation of ASDEX between June 2002 and July 2004.
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