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

This book proposes tools for analysis of multidimensional and metric data, by establishing a state-of-the-art of the existing solutions and developing new ones.

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

Dimensionality reduction, also known as manifold learning, is an area of machine learning used for extracting informative features from data for better represen