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This book describes established and advanced methods for reducing the dimensionality of numerical databases. Each description starts from intuitive ideas, devel

In the past decades, model reduction has become an ubiquitous tool in analysis and simulation of dynamical systems, control design, circuit simulation, structur

Sufficient dimension reduction is a rapidly developing research field that has wide applications in regression diagnostics, data visualization, machine learning

"Geometric Structure of High-Dimensional Data and Dimensionality Reduction" adopts data geometry as a framework to address various methods of dimensionality red

Processing multimedia content has emerged as a key area for the application of machine learning techniques, where the objectives are to provide insight into the