Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization

The book "Advances in Self-Organizing Maps, Learning Vector Quantization, Clustering and Data Visualization" brings together contributions presented at the 13th International Workshop on Self-Organizing Maps, Learning Vector Quantization, Clustering, and Data Visualization (WSOM+). This event took place from June 26 to 28, 2019, in Barcelona, Spain. Since its inception in 1997, the conference has highlighted the current state of the art in unsupervised machine learning, particularly the widely used method of self-organizing maps (SOM), and has expanded its application to clustering and data visualization. In this volume of the AISC series, readers will find theoretical research on SOM, LVQ, and related methods, as well as numerous applications across various fields, including business, engineering, and life sciences. The book is aimed at researchers and practitioners in the field of machine learning, especially those interested in the latest developments in unsupervised learning and data visualization.