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Proceedings Paper

Similarity analysis of infrared spectra
Author(s): Hartmut Hobert; Kathrin Meyer; Michael Meyer
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Paper Abstract

A set of infrared spectra is transformed into a set of scores vectors by a principal component analysis. Cluster or display procedures show the similarity relations in these vectors. The usefulness of this approach is demonstrated by the classification of urinary stones.

Paper Details

Date Published: 1 March 1992
PDF: 2 pages
Proc. SPIE 1575, 8th Intl Conf on Fourier Transform Spectroscopy, (1 March 1992); doi: 10.1117/12.56452
Show Author Affiliations
Hartmut Hobert, Friedrich-Schiller-Univ. Jena (Germany)
Kathrin Meyer, Friedrich-Schiller-Univ. Jena (Germany)
Michael Meyer, Friedrich-Schiller-Univ. Jena (Germany)

Published in SPIE Proceedings Vol. 1575:
8th Intl Conf on Fourier Transform Spectroscopy
Herbert Michael Heise; Ernst Heiner Korte; Heinz W. Siesler, Editor(s)

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