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Simple encoding of infrared spectra for pattern recognition. 1: Statistical examination of the effectiveness and information content by factor analysis
Author(s) -
Schulz Henrik,
Tetzlaff Klaus,
Vogel Lydia
Publication year - 1995
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.1180090303
Subject(s) - redundancy (engineering) , encoding (memory) , pattern recognition (psychology) , content (measure theory) , factor (programming language) , set (abstract data type) , simple (philosophy) , algorithm , computer science , mathematics , artificial intelligence , statistics , data mining , mathematical analysis , programming language , operating system , philosophy , epistemology
The spectral region from 700 to 3600 cm −1 is subdivided into several wave number intervals. The peaks in each interval are summarized by means of three encoding algorithms. Using a factor model of k common factors, the total extractable variacnce ( com ) of a given set of intervals is calculated and correlated with the redundancy of information in all these intervals. The value of com is verified by analysis of the factor loadings a ik (factor pattern). Finally, the information content of some chosen sets of intervals coded by the three selected feature algorithms will be correlated to the probability of information flow through a serial‐parallel network. The encoding using only wave numbers was found to be the most effective.