Question: Initialization: Choose k k initial centroids randomly from the dataset. Assignment: Assign each data point to the nearest centroid using the Euclidean distance. Update: Calculate

Initialization: Choose k k initial centroids randomly from the dataset. Assignment: Assign each data point to the nearest centroid using the Euclidean distance. Update: Calculate new centroids by averaging the data points assigned to each cluster. Iteration: Repeat the Assignment and Update steps until centroids stabilize (no significant change). in simple terms that in can understand

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