Study Of Self-Organizing Maps Hardcover

Study Of Self-Organizing Maps (SOM) explores this powerful type of artificial neural network used for unsupervised learning and data visualization. The book covers the mathematical foundations of the Kohonen map, training algorithms, and techniques for mapping high-dimensional data onto low-dimensional grids. It explores applications in pattern recognition, cluster analysis, and complex data exploration. For data scientists and machine learning researchers, the text provides a deep dive into how SOMs can be used to uncover hidden structures in large, non-linear datasets.