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Figure 2 | Advanced Structural and Chemical Imaging

Figure 2

From: Big data and deep data in scanning and electron microscopies: deriving functionality from multidimensional data sets

Figure 2

Unsupervised learning methods, PCA, and k-means on the FeSeTe CITS data. (a) 150 × 150 pixel CITS data from the Z-channel before the feedback is disabled for the IV spectroscopy. The inset shows the average IV for the data set. (b) Second PCA loading of the CITS data shown in (a); the inset shows the eigenvector. (c) Third PCA loading of the CITS data shown in (a); the inset shows the eigenvector. (d) k-means clustering results for a five-cluster case; the inset shows the mean IV for each cluster.

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