K-means clustering
2016-08-23
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K-means cluster analysis based on experimental data design classifier, experimental data of remote sensing color images, all pixels of the image for the dataset, the r, g, b values for each pixel as its eigenvectors. 1) select suitable category number k, and the initial cluster centers. 2) select a distance measure. 3) termination of design iteration, or artificially set number of iterations. 4) loop iteration ends, all pixels of the r, g, b values in various centers of r, g, b values, draw a classification diagram. 5) analysis of different initial cluster centers and the iteration condition influence classification results.
matlab
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