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pro vyhledávání: '"Steffen Unkel"'
Publikováno v:
Journal of Climate. 22:2797-2812
The complexity inherent in climate data makes it necessary to introduce more than one statistical tool to the researcher to gain insight into the climate system. Empirical orthogonal function (EOF) analysis is one of the most widely used methods to a
Autor:
Steffen Unkel, Nickolay T. Trendafilov
Publikováno v:
Independent Component Analysis and Signal Separation ISBN: 9783642005985
ICA
ICA
In this paper, a new approach for quasi-sphering in noisy ICA by means of exploratory factor analysis (EFA) is introduced. The EFA model is considered as a novel form of data matrix decomposition. By factoring the data matrix, estimates for all EFA m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2144be516c85058270c0d43419729c8c
https://doi.org/10.1007/978-3-642-00599-2_21
https://doi.org/10.1007/978-3-642-00599-2_21
Autor:
Steffen Unkel, Nickolay T. Trendafilov
Publikováno v:
Independent Component Analysis and Signal Separation ISBN: 9783540744931
ICA
ICA
Noisy independent component analysis (ICA) is viewed as a method of factor rotation in exploratory factor analysis (EFA). Starting from an initial EFA solution, rather than rotating the loadings towards simplicity, the factors are rotated orthogonall
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aefa04e0119f6b8c784e63cc976e5cdb
https://doi.org/10.1007/978-3-540-74494-8_101
https://doi.org/10.1007/978-3-540-74494-8_101