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Understanding High-Dimensional SpacesAlgorithms

Understanding High-Dimensional Spaces: Algorithms [This chapter describes many of the algorithms that play a role in constructing models of high-dimensional spaces. Those familiar with knowledge discovery may want to skip some or all of the chapter. However, several of the standard algorithms are used in slightly specialized ways when applied to high-dimensional datasets.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Understanding High-Dimensional SpacesAlgorithms

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Publisher
Springer Berlin Heidelberg
Copyright
© The Author 2012
ISBN
978-3-642-33397-2
Pages
19 –37
DOI
10.1007/978-3-642-33398-9_3
Publisher site
See Chapter on Publisher Site

Abstract

[This chapter describes many of the algorithms that play a role in constructing models of high-dimensional spaces. Those familiar with knowledge discovery may want to skip some or all of the chapter. However, several of the standard algorithms are used in slightly specialized ways when applied to high-dimensional datasets.]

Published: Sep 25, 2012

Keywords: Support Vector Machine; Cluster Algorithm; Random Forest; Singular Value Decomposition; Independent Component Analysis

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