๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Classification and prediction ability of pattern recognition methods applied to sea-water fish

โœ Scribed by M.A. Franco; R. Seeber; G. Sferlazzo; R. Leardi

Book ID
108304546
Publisher
Elsevier Science
Year
1990
Tongue
English
Weight
388 KB
Volume
233
Category
Article
ISSN
0003-2670

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

From magnetic resonance spectroscopy to
From magnetic resonance spectroscopy to classification of tumors. A review of pattern recognition methods
โœ Gisela Hagberg ๐Ÿ“‚ Article ๐Ÿ“… 1998 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 104 KB ๐Ÿ‘ 1 views

This article reviews the wealth of different pattern recognition methods that have been used for magnetic resonance spectroscopy (MRS) based tumor classification. The methods have in common that the entire MR spectra is used to develop linear and non-linear classifiers. The following issues are adre

Pattern recognition analysis applied to
Pattern recognition analysis applied to classification of Galician (NW Spain) wines with Certified Brand of OriginRibeira Sacra
โœ Pe๏ฟฝa, Rosa M; Latorre, Mar๏ฟฝa J; Garc๏ฟฝa, Sagrario; Botana, Ana M; Herrero, Carlos ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 84 KB

In 39 red wines from Galicia (NW Spain), some trace elements were determined by atomic spectroscopy. Data were processed using multivariate chemometric techniques involving principal component analysis, discriminant analysis and K nearest neighbours to develop a typiยฎcation for wine samples of Ribei