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Comments on three‐way analyses used for batch process data
Author(s) -
Smilde Age K.
Publication year - 2001
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 - 10.1002/1099-128x(200101)15:1<19::aid-cem599>3.0.co;2-f
Subject(s) - computer science , process (computing) , preprocessor , batch processing , data pre processing , data mining , data science , management science , artificial intelligence , engineering , programming language , operating system
Abstract Recently, several papers have appeared concerning the use of three‐way models for batch process data. In these papers a number of points are raised. This paper discusses some of these points and illustrates some pitfalls. More specifically, some theoretical aspects of using different three‐way models for batch process data and some practical consequences are discussed. The topics of cross‐validation and data preprocessing are also discussed. These issues will be discussed using small simulated examples and theoretical arguments. Copyright © 2000 John Wiley & Sons, Ltd.