Figure 5 (B) shows a plot of the sum of squared intergroup deviations, where the horizontal coordinate is the number of clusters, and the sum of squared intergroup deviations is used as the vertical coordinate, with the number of clusters flattening out from 10 onwards, and the curve showing a decreasing trend, measuring the difference between the center of each cluster and the overall data center.
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Centroid growth selective clustering method for surface defect detection in silicon nitride ceramic bearing rollers.
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