Zobrazeno 1 - 10
of 50
pro vyhledávání: '"Multiset data"'
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 15 August 2020 203
Publikováno v:
In Food Quality and Preference July 2018 67:35-48
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 15 August 2016 156:260-272
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 15 November 2013 129:40-51
OECD-PISA survey data include performance measurements, expressed as tables of plausible values, and a variety of socio-biographical information. Such data, if properly modeled, can provide useful insights on the causes of low performing students. A
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::95d6392937e6ed49212639a515945764
http://hdl.handle.net/11588/885294
http://hdl.handle.net/11588/885294
Autor:
Van Mechelen, Iven a, ⁎, Smilde, Age K. b
Publikováno v:
In Chemometrics and Intelligent Laboratory Systems 2010 104(1):83-94
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
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In this article, the extension of the Multivariate Curve Resolution Alternating Least Squares (MCR-ALS) method to the simultaneous analysis of multiple data sets bearing information in common is presented. The basic assumption in this extension of MC
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::070d3e37bad1b6e0470f278092c7a499
http://hdl.handle.net/10261/229054
http://hdl.handle.net/10261/229054
Autor:
Anders Brunse, Age K. Smilde, Johan A. Westerhuis, Masoumeh Alinaghi, Hanne Christine Bertram
Publikováno v:
Alinaghihossein, M, Bertram, H C S, Brunse, A, Smilde, A K & Westerhuis, J A 2020, ' Common and distinct variation in data fusion of designed experimental data ', Metabolomics, vol. 16, no. 2 . https://doi.org/10.1007/s11306-019-1622-2
Alinaghi, M, Bertram, H C, Brunse, A, Smilde, A K & Westerhuis, J A 2020, ' Common and distinct variation in data fusion of designed experimental data ', Metabolomics, vol. 16, no. 1, 2 . https://doi.org/10.1007/s11306-019-1622-2
Metabolomics, 16(1):2. Springer New York
Metabolomics
Alinaghi, M, Bertram, H C, Brunse, A, Smilde, A K & Westerhuis, J A 2020, ' Common and distinct variation in data fusion of designed experimental data ', Metabolomics, vol. 16, no. 1, 2 . https://doi.org/10.1007/s11306-019-1622-2
Metabolomics, 16(1):2. Springer New York
Metabolomics
Introduction Integrative analysis of multiple data sets can provide complementary information about the studied biological system. However, data fusion of multiple biological data sets can be complicated as data sets might contain different sources o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b39c96c2ecad2a9bbaeeb5655c0bef6
https://pure.au.dk/portal/da/publications/common-and-distinct-variation-in-data-fusion-of-designed-experimental-data(0a5fceef-b65a-4d59-a4e6-c8c8aed6c6e7).html
https://pure.au.dk/portal/da/publications/common-and-distinct-variation-in-data-fusion-of-designed-experimental-data(0a5fceef-b65a-4d59-a4e6-c8c8aed6c6e7).html
Autor:
Smilde, Age K. ∗, 1, Van Mechelen, Iven §
Publikováno v:
In Data Handling in Science and Technology 2019 31:27-50