MATLAB and Simulink Based Books

Kernel Based Algorithms for Mining Huge Data Sets: Supervised, Semi-supervised, and Unsupervised Learning

Written for engineers and scientists, this book provides an introduction to the theory and algorithms for mining huge data sets. Topics covered include manifold approaches, component analysis, and low density separation.

MATLAB is introduced and used to solve some examples in the book. In addition, a companion set of MATLAB M-files is available for download.

About This Book

Vojislav Kecman, University of Auckland
Te-Ming Huang, The University of Auckland
Ivica Kopriva

Springer International Publishing, 2006

ISBN: 3-540-31681-7
Language: English

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