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Figure 3
Scheme of the data analysis procedure. (a) Collection of azimuthally integrated SAXS/WAXS intensity curves Ii(q), for i = 1,...,r, where r is the number of I(q) points. (b) M2 is formed by selecting only the d intensities Ii(q) where inflection points occur. (c) Dimensionality reduction: principal component analysis is applied to M2 and the number of main variables is reduced to m principal components PCj, for j = 1,...,m. The optimal number of clusters n is evaluated and the signals are classified into n clusters. We assume n = 4 in this example. The scanned map is segmented according to the clustering results. (d) Estimation of a representative signal Sl(q) by selecting points that are located furthest from all centroids, for l = 1,...,n. Further details about each step can be found in the text.

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