These include data reduction and display techniques, principal components analysis and methods for classification and clustering. Comprehensive case studies illustrate the book, including numerical examples, and extensive problems are interspersed throughout the text. The book contains extensive cross-referencing between various chapters, comparing different notations and approaches, enabling readers from different backgrounds to benefit from it and to move around chapters at will.
Worked examples and exercises are given, making the volume valuable for courses.
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Classification and Pattern Recognition | Practical Guide To Chemometrics | Taylor & Francis Group
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Chemometrics for Pattern Recognition. Selected type: Hardcover. Added to Your Shopping Cart. View on Wiley Online Library. This is a dummy description. Over the past decade, pattern recognition has been one of the fastest growth points in chemometrics.