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What is K-means Clustering Algorithm Explained about?

The document outlines the K-means clustering algorithm, detailing its steps including the initialization of centroids, the E-step for assignment, and the M-step for updating centroids. It also presents the K-means algorithm as a special case of the Expectation-Maximization (EM) algorithm, explaining the mathematical relationships involved. References to relevant sections in the PRML text are provided for further reading.

Author

Shlok Agarwal

Language

EN