The Self-organizing Map in Industry Analysis

@inproceedings{Vasara1999TheSM,
  title={The Self-organizing Map in Industry Analysis},
  author={P. Vasara and Juha Vesanto and R. Helminen and Jaakko P{\"o}yry ConsultingJaakonkatu},
  year={1999}
}
The Self-Organizing Map (SOM) is a powerful neural network method for the analysis and visualization of high-dimensional data. It maps nonlinear statistical relationships between high-dimensional measurement data into simple geometric relationships, usually on a two-dimensional grid. The mapping roughly preserves the most important topological and metric relationships of the original data elements and, thus, inherently clusters the data. The need for visualization and clustering occurs, for… CONTINUE READING
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