Similarity index: a rapid classification method for...

Details Similarity index: a rapid classification method for... Similarity index: a rapid classification method for...

2011-07-19

2011-07-19

Wachsman, Hal D (Department: 2857)

Data processing: measuring, calibrating, or testing

Measurement system

Statistical measurement

C702S032000, C708S806000

Reexamination Certificate

active

07983874

ABSTRACT:
Provided herein is a method of determining the similarity between a first multivariate data set and a second multivariate data set. The method may be applied to rapidly assess the similarity between fluorescence spectroscopy multivariate data sets in quality control analysis. The method includes representing the data of a first and a second multivariate data set in matrix form to yield a multivariate data matrix and calculating the magnitude of an additive and subtractive combination of each multivariate data matrix. The concept of a penalty parameter is introduced to set a detectable limit of variance between the first multivariate data set and the second multivariate data set and the penalty parameter is used in combination with the magnitude of an additive and subtractive combination of each multivariate data matrix to determine a similarity value.

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Poster Presentation at conference held on Jun. 11-14, 2007, 1 page.
Anderson, C.M., et al., Practical aspects of PARFAC modeling of flourescence excitation-mission data, Journal of Chemometrics, 2003; 17: 200-215.
Bro, Rasmus, Review of Multiway Analysis in Chemistry—2000-2005, Critical Review in Analytical Chemistry, 36: 279-293, 2006.

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