By Thomas Villmann, Frank-Michael Schleif, Marika Kaden, Mandy Lange (eds.)
The booklet collects the clinical contributions provided on the tenth Workshop on Self-Organizing Maps (WSOM 2014) held on the collage of technologies Mittweida, Mittweida (Germany, Saxony), on July 2–4, 2014. beginning with the 1st WSOM-workshop 1997 in Helsinki this workshop specializes in latest ends up in the sector of supervised and unsupervised vector quantization like self-organizing maps for information mining and knowledge classification.
This tenth WSOM introduced jointly greater than 50 researchers, specialists and practitioners within the appealing small city Mittweida in Saxony (Germany) within sight the mountains Erzgebirge to debate new advancements within the box of unsupervised self-organizing vector quantization structures and studying vector quantization techniques for category. The booklet comprises the permitted papers of the workshop after a cautious evaluate strategy in addition to summaries of the invited talks. between those e-book chapters there are very good examples of using self-organizing maps in agriculture, desktop technology, info visualization, healthiness structures, economics, engineering, social sciences, textual content and photograph research and time sequence research. different chapters current the most recent theoretical paintings on self-organizing maps in addition to studying vector quantization tools, similar to referring to these the right way to classical statistical selection methods.
All the contribution reveal that vector quantization tools disguise a wide variety of program parts together with facts visualization of high-dimensional complicated information, complicated selection making and type or info clustering and knowledge compression.
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Additional info for Advances in Self-Organizing Maps and Learning Vector Quantization: Proceedings of the 10th International Workshop, WSOM 2014, Mittweida, Germany, July, 2-4, 2014
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