K-Means Clustering

K-Means Clustering:

Step 1: Choose the number of K
K-Means Clustering
Step 2: Select centroids

Step 3: Assign each data to the closed centeroid point:

Step 4: Compute the new central point of each cluster:

Step 5:Resign the each point to closed new centroid point. If any reassignment happens ,go to step 4 ,otherwise go to Finish step
K-Means Clustering

Finish Step: Algorithm ready!
K-Means Clustering

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