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Self-organizing maps (SOMs) were developed by Teuvo Kohonen in the
early eighties. Since then more than 10,000 works have been based
on SOMs. SOMs are unsupervised neural networks useful for
clustering and visualization purposes. Many SOM applications have
been developed in engineering and science, and other fields. This
book contains refereed papers presented at the 9th Workshop on
Self-Organizing Maps (WSOM 2012) held at the Universidad de Chile,
Santiago, Chile, on December 12-14, 2012. The workshop brought
together researchers and practitioners in the field of
self-organizing systems. Among the book chapters there are
excellent examples of the use of SOMs in agriculture, computer
science, data visualization, health systems, economics,
engineering, social sciences, text and image analysis, and time
series analysis. Other chapters present the latest theoretical work
on SOMs as well as Learning Vector Quantization (LVQ) methods.
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