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K-Means is really a clustering algorithm that uncovers underlying patterns to group and categorize entities in unlabeled datasets. In this particular occasion, K refers to the number of clusters needed inside the dataset. The algorithm aims to assign Each and every details point to a cluster although trying to keep Every single cluster as limited-k

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