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K-means is an unsupervised machine learning algorithm that partitions data into k clusters by iteratively assigning data points to the nearest cluster centroid and then recalculating the centroids. It works by minimising the distance between data points and their assigned cluster's centroid, aiming to create clusters with high intra-cluster ...
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