WSOM 2016 was held in the vibrant, multicultural city of Houston, Texas. It brought together researchers and practitioners in the field of self-organizing systems for data analysis, with a particular emphasis on Self-Organizing Maps and Learning Vector Quantization. It highlighted key advances in these and closely related fields. WSOM 2016 is the eleventh conference in a series of bi-annual international conferences started with WSOM’97 in Helsinki.
Click on a image/figure to download a copy.
The abstracts and biosketches are posted under the “Invited Speakers” link at left.
Professor Marie Cottrell, Université Paris 1 Panthéon-Sorbonne: Theoretical and applied aspects of the self-organizing maps (pdf)
Professor Pablo Estévez, University of Chile and Millennium Institute of Astrophysics, Chile: Big Data Era Challenges and Opportunities in Astronomy – How SOM/LVQ Related Machine Learning Can Contribute? (pdf)
Professor Risto Miikkulainen, University of Texas at Austin: Using SOMs to gain insight into human language processing (pdf)