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Shows how modern matrix methods can be applied in data mining and pattern recognition.
Über die Autorin bzw. den Autor: Lars Eldén is professor of numerical analysis at Linköping University in Sweden. He was head of the Mathematics Department at Linköping University from 1997 to 2001 and Director of the National Supercomputer Centre, Linköping, from 1990 to 1991. He is the author, along with L. Wittmeyer-Koch and H. Bruun Nielsen, of Introduction to Numerical Computation: Analysis and MATLAB Illustrations (Studentlitteratur AB, 2004).
Titel: Matrix Methods in Data Mining and Pattern ...
Verlag: Society for Industrial and Applied Mathematic
Erscheinungsdatum: 2007
Einband: Paperback
Zustand: Good
Zustand des Schutzumschlags: No Jacket