Reservoir characterization by calibration of self‐organized map clusters

@article{Taner2001ReservoirCB,
  title={Reservoir characterization by calibration of self‐organized map clusters},
  author={M. Taner and J. Walls and Maggie Smith and G. Taylor and M. Carr and D. Dumas},
  journal={Seg Technical Program Expanded Abstracts},
  year={2001},
  pages={1552-1555}
}
Kohonen's Self Organizing Feature Maps (SOFM) and other unsupervised clustering methods generate groups based on the identification of various discriminating features. These methods seek an organization in the dataset and form relational organized clusters. However, these clusters may or may not have any physical analogues. A calibration method that relates SOM clusters to physical reality, is desirable. This calibration method must define the relationship between the clusters and the observed… Expand
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