By Thomas Villmann, Frank-Michael Schleif, Marika Kaden, Mandy Lange (eds.)
The booklet collects the medical contributions offered 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 makes a speciality of most up-to-date ends up in the sphere of supervised and unsupervised vector quantization like self-organizing maps for facts mining and information 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 platforms and studying vector quantization methods for category. The ebook includes the approved 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, well-being structures, economics, engineering, social sciences, textual content and snapshot research and time sequence research. different chapters current the newest theoretical paintings on self-organizing maps in addition to studying vector quantization tools, reminiscent of referring to these easy methods to classical statistical selection methods.
All the contribution exhibit that vector quantization tools hide a wide range of software parts together with facts visualization of high-dimensional complicated facts, complex selection making and type or info clustering and knowledge compression.