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What is K-Means Clustering Explained about?

The document discusses the K-means clustering algorithm. It describes the basic concepts and steps of the algorithm including choosing the number of clusters, initializing cluster centers, calculating distances to assign data points to clusters, updating cluster centers, and iterating until cluster assignments stop changing. Example applications to numeric data are provided.

Author

mazeen naser

Language

EN