This lecture introduces the applications of unsupervised learning methods in Scanning Probe Microscopy spectral imaging, including basic principal component analysis and k-means clustering. SPM applications include band excitation SPMs (magnetic force microscopy, piezoresponse force microscopy) and continuous current imaging in Scanning Tunneling Microscopy (CITS)

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