1996
DOI: 10.1515/9783110813593
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Ästhetische Autonomie als Abnormität

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Cited by 34 publications
(3 citation statements)
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“…The pure component spectra and the associated absorption and concentration profiles were extracted with an algorithm based on factor analysis. [25] In Figures 2, 4, and 6b,t he concentrations of the complexes were multiplied by the number of their iron atoms to facilitate identification of conversion processes. This is indicated with the entry "c (number of Fe per molecule)".…”
Section: Methodsmentioning
confidence: 99%
“…The pure component spectra and the associated absorption and concentration profiles were extracted with an algorithm based on factor analysis. [25] In Figures 2, 4, and 6b,t he concentrations of the complexes were multiplied by the number of their iron atoms to facilitate identification of conversion processes. This is indicated with the entry "c (number of Fe per molecule)".…”
Section: Methodsmentioning
confidence: 99%
“…For three components, three scores are estimated, but scaling the second and third score after division by the first one leads to two variables ( t 12 and t 13 ) allowing for a simplified presentation in two dimensions 7 . This produces a series of AFSs in abstract space, as shown in Figure 5, drawn by computing the convex hulls of the corresponding data points, provided the AFSs comply with the convexity property (it can be demonstrated that the SW‐N‐BANDS projections in the principal component space lie in the border of the AFSs) 27 . It is apparent that the AFSs reduce in size on increasing the constraints to the model, and that they increase when going from noiseless to noisy data.…”
Section: Resultsmentioning
confidence: 99%
“…7 This produces a series of AFSs in abstract space, as shown in Figure 5, drawn by computing the convex hulls of the corresponding data points, provided the AFSs comply with the convexity property (it can be demonstrated that the SW-N-BANDS projections in the principal component space lie in the border of the AFSs). 27 It is apparent that the AFSs reduce in size on increasing the constraints to the model, and that they increase when going from noiseless to noisy data.…”
Section: Simulationsmentioning
confidence: 99%