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Chaos theory in chemistry and chemometrics: a review
Author(s) -
Cramer Jeffrey A.,
Booksh Karl S.
Publication year - 2006
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.1003
Subject(s) - chemometrics , curse of dimensionality , chaos (operating system) , attractor , fractal , chaos theory , computer science , corollary , management science , mathematics , artificial intelligence , machine learning , engineering , pure mathematics , chaotic , mathematical analysis , computer security
Since the initial development of chaos theory and corollary concepts such as the strange attractor and fractal dimensionality, there has been a nontrivial effort to apply these concepts to the quantification of material and data structures. There exists within chaos theory modeling concepts that allow for thorough complexity analyses not available through alternate paradigms. The purpose of this paper is to review the main body of work that has been pursued in both experimental chemistry research and related data analysis development with respect to chaos theory and derivative ideas. Copyright © 2007 John Wiley & Sons, Ltd.