k-means clustering data algorithm aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into colored clusters.
DevMahmoud10/K-Mean-Clustring-Data-Algorithm
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k-means clustering data algorithm aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean, serving as a prototype of the cluster. This results in a partitioning of the data space into colored clusters.
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