Enables users of movie datak-meansClustering gives an optimum number of clustering. Usingk-meansalgorithm realization for clustering large data, get the best number of clusters. K-meansalgorithmis typical of a distance-basedclusteringalgorithm using evaluation as a similarity index, which holds that the distance between two objects, the closer, the greater its similarity. The algorithm that cluster is composed of near objects, so separate clusters are compact and as the ultimate goal.
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