Vector analysis of multi-measurements identification

Z. B. Alfassi

doi:10.1007/s10967-005-0899-y

Vector analysis of multi-measurements identification

Z. B. Alfassi

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Vector analysis is suggested for any identification problem which involves the comparison of "unknown" with standards and which requires several experiments in order to enable the identification. It is shown that the method of least geometric distance and the method of scalar product (spectral contact angle) are the same if the distance is measured for points on a hypersphere with unit radius. Any one of these methods can be used. It is important to normalize each vector to unit length.

Original language	English
Pages (from-to)	245-250
Number of pages	6
Journal	Journal of Radioanalytical and Nuclear Chemistry
Volume	266
Issue number	2
DOIs	https://doi.org/10.1007/s10967-005-0899-y
State	Published - 1 Nov 2005

ASJC Scopus subject areas

Analytical Chemistry
Nuclear Energy and Engineering
Radiology Nuclear Medicine and imaging
Pollution
Spectroscopy
Public Health, Environmental and Occupational Health
Health, Toxicology and Mutagenesis

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10.1007/s10967-005-0899-y

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AB - Vector analysis is suggested for any identification problem which involves the comparison of "unknown" with standards and which requires several experiments in order to enable the identification. It is shown that the method of least geometric distance and the method of scalar product (spectral contact angle) are the same if the distance is measured for points on a hypersphere with unit radius. Any one of these methods can be used. It is important to normalize each vector to unit length.

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Vector analysis of multi-measurements identification

Abstract

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