Impact of data reduction on multivariate classification models built on spectral data from bio-samples

2015 ◽  
Vol 30 (5) ◽  
pp. 1117-1127 ◽  
Author(s):  
Anders Larsson ◽  
Henrik Andersson ◽  
Lars Landström
Keyword(s):  
Spectral Data ◽  
Data Reduction ◽  
Image Data ◽  
Classification Models ◽  
Multivariate Classification

Multivariate classification models, both from 1D spectra and 2D image data (also with simulated shifts), were evaluated and compared.

Specplot - An Interactive Data Reduction and Display Program for Spectral Data

1979 ◽  
Vol 23 ◽  
pp. 305-311 ◽  
Author(s):  
Raymond P. Goehner
Keyword(s):  
Spectral Data ◽  
Data Reduction ◽  
Usual Method ◽  
Spectral Lines ◽  
Digital Data ◽  
Strip Chart Recorder ◽  
Automatic Data ◽  
Chart Recorder ◽  
Rapid Pace ◽  
Interactive Data

The automation of analytical equipment is proceeding at a rapid pace, particularly since the introduction of inexpensive microcomputer systems. Most of this equipment has one characteristic in common, that is, they produce digital spectral data. The usual method of recording spectral data has been the strip chart recorder. Strip charts require the hand encoding of position and intensities of the spectral lines. This requires that all of the lines be on scale or that the sample be run several times in order to amplify weaker lines. This problem is eliminated by recording the data digitally. Digital data can then be rapidly plotted on a cathode ray terminal to any desired scale. The user of digital data has access to a great variety of automatic data reduction programs.

scholarly journals Reduction of 3D Spectral Data, Obtained with the 6-meter Telescope

1995 ◽  
Vol 149 ◽  
pp. 308-310
Author(s):  
V. V. Vlasiouk
Keyword(s):  
Spectral Data ◽  
Spectral Methods ◽  
Data Reduction ◽  
Simultaneous Detection ◽  
Personal Computers ◽  
Specialized Software ◽  
Fabry Perot ◽  
Extended Sources ◽  
Integral Field Spectrograph ◽  
Integral Field

Development of 3D spectral methods on the 6-meter telescope prompted the necessity of creating specialized software for data reduction, adapted to personal computers IBM AT/386/486 class. We had to concentrate our efforts on preparing the software for bidimensional spectral data produced by Multi-Pupil Integral Field Spectrograph of the 6-meter telescope (MPFS) and analog of panoramic spectrophotometer with spectral channeling, using scanning Fabry-Perot interferometer (PYTHEAS-6).MPFS - analog of spectrograph TIGER (Courtes et al., 1988), developed for the 6-meter telescope, provides bidimensional spectroscopy of extended sources, allowing the simultaneous detection of 99 individual spectra, produced by a lens raster from 9 by 11 microlenses. The main features of this instrument are described in (Afanasiev et al, 1994).

scholarly journals Evaluation of Multivariate Classification Models for Analyzing NMR Metabolomics Data

2019 ◽  
Vol 18 (9) ◽  
pp. 3282-3294 ◽  
Author(s):  
Thao Vu ◽  
Parker Siemek ◽  
Fatema Bhinderwala ◽  
Yuhang Xu ◽  
Robert Powers
Keyword(s):  
Classification Models ◽  
Multivariate Classification ◽  
Metabolomics Data ◽  
Nmr Metabolomics

scholarly journals Spectral data reduction via wavelet decomposition

2002 ◽  
Author(s):  
Sinthop Kaewpijit ◽  
Jacqueline Le Moigne ◽  
Tarek El-Ghazawi
Keyword(s):  
Spectral Data ◽  
Data Reduction ◽  
Wavelet Decomposition

Spectral data reduction

2011 ◽  
Vol 47 ◽  
pp. 73-101
Author(s):  
V. Desnoux
Keyword(s):  
Spectral Data ◽  
Data Reduction

Transfer of multivariate classification models applied to digital images and fluorescence spectroscopy data

2017 ◽  
Vol 133 ◽  
pp. 669-675 ◽  
Author(s):  
Karla Danielle Tavares Melo Milanez ◽  
Thiago César Araújo Nóbrega ◽  
Danielle Silva Nascimento ◽  
Matías Insausti ◽  
Márcio José Coelho Pontes
Keyword(s):  
Fluorescence Spectroscopy ◽  
Digital Images ◽  
Classification Models ◽  
Spectroscopy Data ◽  
Multivariate Classification
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