Nonlinear Dimensionality Reduction

• Main Authors: Lee, John A, Verleysen, Michel
• Format: eBook Book
• Language: English
• Published: New York, NY Springer-Verlag 2007; Springer Science+Business Media; Springer New York
• Edition: 1. Aufl.
• Series: Information Science and Statistics
• Subjects: Computational complexity; Computer Science; Computers > Machine Theory; Data Mining and Knowledge Discovery; Image Processing and Computer Vision; Logic, Symbolic and mathematical; Mathematical Logic and Foundations; Mathematics; Pattern Recognition; Probability and Statistics in Computer Science; Visualization; Computer Informatik

Methods of dimensionality reduction provide a way to understand and visualize the structure of complex data sets. Traditional methods like principal component analysis and classical metric multidimensional scaling suffer from being based on linear models. Until recently, very few methods were able t...