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 most recent ends up in the sphere of supervised and unsupervised vector quantization like self-organizing maps for facts 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 reach the mountains Erzgebirge to debate new advancements within the box of unsupervised self-organizing vector quantization platforms and studying vector quantization ways for class. The e-book comprises the approved papers of the workshop after a cautious evaluate technique in addition to summaries of the invited talks. between those booklet chapters there are very good examples of using self-organizing maps in agriculture, desktop technological know-how, information visualization, health and wellbeing structures, economics, engineering, social sciences, textual content and photograph research and time sequence research. different chapters current the newest theoretical paintings on self-organizing maps in addition to studying vector quantization equipment, reminiscent of bearing on these how you can classical statistical choice methods.
All the contribution exhibit that vector quantization tools conceal a wide variety of program components together with information visualization of high-dimensional advanced info, complex selection making and type or information clustering and information compression.