High-dimensional Data Analysis: From Optimal Metrics to Feature Selection - Softcover

François, Damien

Softcover

ISBN 10: 3836493098 ISBN 13: 9783836493093

Verlag: VDM Verlag Dr. Müller, 2008

Inhaltsangabe

High-dimensional data are everywhere: texts, sounds, spectra, images, etc. However, many data analysis tools (coming from statistics, artificial intelligence, etc.) were designed for low-dimensional data. Many of the assumptions behind data analysis tools are not transposable to high-dimensional data. For instance, the Euclidean distance concentrates in high-dimensional spaces; all distances seem identical! It furthermore does not distinguish between relenvant and irrelevant features. In Part One of the book, the phenomenon of the concentration of the distances is considered, and its consequences on data analysis tools are studied. Part Two focuses on the problem of feature selection in the case of a large number of initial features. Most of the concepts studied and presented in this thesis are illustrated on chemometric data, and more particularly on spectral data, with the objective of inferring a physical or chemical property of a material by analysis the spectrum of the light it reflects.

Details zur Ausgabe

• Verlag: VDM Verlag Dr. Müller
• Erscheinungsdatum: 2008
• Sprache: Englisch
• ISBN 10: 3836493098
• ISBN 13: 9783836493093
• Einband: Taschenbuch
• Anzahl der Seiten: 176
• Kontakt zum Hersteller: Nicht verfügbar
• Verantwortliche Person: Zeitfracht Medien GmbH; info-medien@zeitfracht.de; ; Ferdinand-Jühlke-Straße 7; Erfurt; 99095; Deutschland