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What is Understanding K-Means Algorithm Steps about?

The K-Means algorithm involves selecting a number of clusters (K), initializing centroids, assigning data points to the nearest centroid, recalculating centroids, and repeating the assignment until no changes occur. The Elbow method is a popular technique for determining the optimal number of clusters by plotting the Within Cluster Sum of Squares (WCSS) against different K values and identifying the point where the curve bends sharply. This method helps in finding a balance between the number of clusters an

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