Open access peer-reviewed chapter

Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data

By A. Gustavo González

Submitted: March 30th 2011Reviewed: October 12th 2011Published: March 23rd 2012

DOI: 10.5772/31470

Downloaded: 2887

© 2012 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution 3.0 License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

A. Gustavo González (March 23rd 2012). Critical Aspects of Supervised Pattern Recognition Methods for Interpreting Compositional Data, Chemometrics in Practical Applications, Kurt Varmuza, IntechOpen, DOI: 10.5772/31470. Available from:

chapter statistics

2887total chapter downloads

1Crossref citations

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

Analysis of Chemical Processes, Determination of the Reaction Mechanism and Fitting of Equilibrium and Rate Constants

By Marcel Maeder and Peter King

Related Book

First chapter

Quantitative and Qualitative LC-High-Resolution MS: The Technological and Biological Reasons for a Shift of Paradigm

By Bertrand Rochat

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

More About Us