kmeans computes centroid clusters in different ways to the supported distance metrics. This desk summarizes the available length metrics. During the formulae, x
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Use kmeans to build clusters in MATLAB® and use pdist2 while in the generated code to assign new facts to existing clusters.
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Define an entry-position function named findNearestCentroid that accepts centroid positions and new information, after which you can find the closest cluster through the use of pdist2.