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What is Grouping Objects by Similarity Using K about?

K-means is a widely used clustering algorithm that groups similar objects based on feature similarities, making it popular in various applications like document and customer grouping. The algorithm involves selecting initial centroids, assigning samples to the nearest centroid, and iterating until cluster assignments stabilize, although it requires the number of clusters to be specified beforehand. Variants like k-means++ improve centroid initialization to enhance clustering performance and address issues l

Author

anvarshathik

Language

EN