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Improvement of Principal Component Analysis for Quantification of Spectrum-Imaging Datasets

Published online by Cambridge University Press:  01 August 2018

M. Watanabe ,
A. Ishizuka  and
K. Ishizuka
M. Watanabe
Affiliation:
Dept of Materials Science and Engineering, Lehigh University, Bethlehem, PA, USA
A. Ishizuka
Affiliation:
HREM Research Inc., Higashimatsuyama, Saitama, Japan
K. Ishizuka
Affiliation:
HREM Research Inc., Higashimatsuyama, Saitama, Japan

Abstract

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Type
Abstract
Information
Microscopy and Microanalysis , Volume 24 , Supplement S1: Proceedings of Microscopy & Microanalysis 2018 , August 2018 , pp. 576 - 577
Copyright
© Microscopy Society of America 2018 

References

[1] Jolliffe, I. T. Principal Component Analysis, 2nd ed. Springer New York 2002.Google Scholar
[2] Malinowski, E. R. Factor Analysis in Chemistry, 3rd ed. Wiley New York 2002.Google Scholar
[3] Watanabe, M., et al, Microscopy and Analysis 23 2009) p. 5.Google Scholar
[4] Lichtert, S. Verbeeck, J. Ultramicrosc. 125 2013) p. 35.Google Scholar
[5] The author (MW) wishes to acknowledge financial support from the NSF through grants DMR-0804528 and DMR-1040229.Google Scholar