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What is the K-means clustering method?

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K-means clustering is an important unsupervised learning method. It is the technique of classifying data using a certain set of clusters which is called K clusters. It is deployed for grouping to find out the similarity in the data.

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K-means clustering is a method of clustering data into K groups based on their similarity.

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