This book contains the articles from the international conference 11th Workshop on
Self-Organizing Maps 2016 (WSOM 2016) held at Rice University in Houston Texas 6-8 January
2016. WSOM is a biennial international conference series starting with WSOM'97 in Helsinki
Finland under the guidance and direction of Professor Tuevo Kohonen (Emeritus Professor
Academy of Finland). WSOM brings together the state-of-the-art theory and applications in
Competitive Learning Neural Networks: SOMs LVQs and related paradigms of unsupervised and
supervised vector quantization.The current proceedings present the expert body of knowledge of
93 authors from 15 countries in 31 peer reviewed contributions. It includes papers and
abstracts from the WSOM 2016 invited speakers representing leading researchers in the theory
and real-world applications of Self-Organizing Maps and Learning Vector Quantization: Professor
Marie Cottrell (Universite Paris 1 Pantheon Sorbonne France) Professor Pablo Estevez
(University of Chile and Millennium Instituteof Astrophysics Chile) and Professor Risto
Miikkulainen (University of Texas at Austin USA). The book comprises a diverse set of
theoretical works on Self-Organizing Maps Neural Gas Learning Vector Quantization and related
topics and an excellent variety of applications to data visualization clustering
classification language processing robotic control planning and to the analysis of
astronomical data brain images clinical data time series and agricultural data.
