K-means is comparatively simple and works well with large datasets, but it assumes clusters are circular/spherical in shape, so it can only find simple cluster geometries. Data clustering is the ...
K-means segmentation algorithm can be applied to customer segmentation in banks. If loan over-due amount of bank customers are normally distributed, then k-means can be used. In cases of significant ...
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