ClusterizationMethod.KMeans

K-Means method. In this method, arbitrary objects are selected as cluster centers, then all objects being analyzed are checked sequentially and joined with the nearest cluster. After an object is joined, a new cluster center is calculated as the average attribute value across all objects in the cluster. This procedure is repeated while cluster centers keep on changing.

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