Performance evaluation of the self-organizing map for feature extraction

@inproceedings{Liu2006PerformanceEO,
  title={Performance evaluation of the self-organizing map for feature extraction},
  author={Yonggang Liu and Robert H. Weisberg and Christopher N. K. Mooers},
  year={2006}
}
[1] Despite its wide applications as a tool for feature extraction, the Self-Organizing Map (SOM) remains a black box to most meteorologists and oceanographers. This paper evaluates the feature extraction performance of the SOM by using artificial data representative of known patterns. The SOM is shown to extract the patterns of a linear progressive sine wave. Sensitivity studies are performed to ascertain the effects of the SOM tunable parameters. By adding random noise to the linear… CONTINUE READING
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