COMPSs K-means
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Workflow Type: COMPSs

K-means clustering is a method of cluster analysis that aims to partition ''n'' points into ''k'' clusters in which each point belongs to the cluster with the nearest mean. It follows an iterative refinement strategy to find the centers of natural clusters in the data.

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Version 1 (earliest) Created 11th Oct 2022 at 11:28 by Raül Sirvent

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Created: 11th Oct 2022 at 11:28

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