Nonlinear Dimensionality Reduction

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Lee, John A. (Επιμελητής έκδοσης), Verleysen, Michel (Επιμελητής έκδοσης)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York, 2007.
• Σειρά: Information Science and Statistics,
• Θέματα: Mathematics.; Mathematical statistics.; Data mining.; Image processing.; Pattern recognition.; Visualization.; Mathematical logic.; Mathematical Logic and Foundations.; Probability and Statistics in Computer Science.; Data Mining and Knowledge Discovery.; Image Processing and Computer Vision.; Pattern Recognition.

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...

Πίνακας περιεχομένων:

• High-Dimensional Data
• Characteristics of an Analysis Method
• Estimation of the Intrinsic Dimension
• Distance Preservation
• Topology Preservation
• Method comparisons
• Conclusions.