Chemical pattern recognition, by O. Štrouf

Chemical pattern recognition, by O. Štrouf

n Chemometrics‘ and Intelligent Laboratory Systems Chemical Pattern Recognition, by 0. &rouf Research Studies Press, Letchworth, I! 18ti, xvi + 202 ...

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Chemometrics‘ and Intelligent Laboratory Systems

Chemical Pattern Recognition, by 0. &rouf Research Studies Press, Letchworth, I! 18ti, xvi + 202 pages, price f26.65, ISBN 0-86380-044-O

This book is published as No. 11 in the Chemometrics Series, of which Dr. Bawden is the Editor. This series presents reviews and surveys in the field of chemometrics in general, but mainly in multivariate data analysis and structure-activity analysis. The books are usually state-of-the-art reviews of specific topics, written by specialists, and the general level of the series is good. The present book first describes the methodology of supervised pattern recognition (about 50 pages) and devotes large sections to discriminant analysis (including the learning machine), K-nearest neighbours rules and potential methods, modelling methods such as SIMCA and Stroufs own SPHERE method, with smaller sections on deviation pattern recognition and the evaluation of the classifiers. The clustering methodology is described in the following 10 pages and

is followed by a section of about 15 pages on feature selection and a small section of about 10 pages on visualization methods. The next chapter describes applications and contains sections on, for instance, analytical data, physico-chemical parameters of elements, chemical structure, spectral data, electrochemical data and chromatographic data. . According to the Introduction, the aim of the book is to summarize results achieved from 1979 to 1985. It is therefore really an extended and critical literature review and not a stand-alone book: it has not been written for a newcomer in the field who wants to learn about pattern recognition. It contains about 50 pages of references, which means there must be some 400 references. Full titles are given, which adds to the information value. This review is at the same time very complete and incomplete. It is

Chemometrics, by M.A. Sharaf, D.L. Illman and B.R. Kowalski Wiley-Interscience, Somerset, NJ, 1986, XIV + 332 pages, price US$67.20, ISBN O-471-83106-9

This is basically a textbook that evolved from a senior/graduate course taught at the University of Washington since 1974. It is my belief that the authors fulfilled the objective stated in the preface, “M introduce the field of chemometrics to advanced students of chemistry”, and highlight the important areas without

focusing on mathematical derivations. Each chapter has pertinent references, suggested readings and examples. There are no problems for the students to work through, however. If there is a shortcoming to this work, I would cite this omission. The chapter on sampling theory is

complete in the sense that it does describe nearly all the published work of those scientific workers who move in the field of chemometrics and are more or less known in that circle. It is very incomplete in the sense that it does not cover at all the literature in very related fields such as clinical chemistry, except for a few excursions by chemometricians in that area. For the chemometrician, this means that this book is a valuable summary of existing work but that it rarely opens windows on the many other fields, apart from chemistry, in which pattern recognition is applied and where many new solutions to chemometric problems may be found. For the statistician or applied mathematician this book may be of’ interest, not because of the methodological developments, but because it gives a good idea of the pattern recognition problems being investigated in chemistry and the methods applied for that purpose. D.L. MASSART VrQe Universiteit van Brussel, Brussels, Belgium

excellent. It provides a nice, but brief, introduction to simple statistics and focuses on an important and often overlooked area in analytical chemistry. Experimental design is a topic that is generally overlooked in the field of chemistry. The topics included in this chapter are all relevant and well covered. The only major omission, Simplex optimization, is covered in a later chapter. The next three chapters, “Signal Detection and Manipulation”, “Calibration and Chemical Analyses”, and “ Resolution of Analytical Signals”

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