In a typical classification problem, the final step (not included in this example) would be to train a classifier, such as logistic regression, to label image patches from new images. These are plotted to illustrate that the classes form clusters in feature space. Next, two features of the GLCM matrices are computed: dissimilarity and correlation.
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