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KMEANS CLUSTERING
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KMeans Clustering
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KMeans Clustering RANDOM INITITALIZE TRAP
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KMeans Clustering
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KMeans Clustering STEP BY STEP STEP 1 K = 3 | Number of Clusters
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KMeans Clustering STEP 2 K = 3 | Assign the Centroids
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KMeans Clustering STEP 3 K = 3 | Assign each data the Closest centroid
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KMeans Clustering STEP 4
K = 3 | Compute and Place the new Centroid of each cluster
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KMeans Clustering STEP 5
K = 3 | Reassign each datapoint to closest centroid. If any reassignment took place, GO TO Step 4, else FIN
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KMeans Clustering WITHIN CLUSTER SUM of SQUARES
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KMeans Clustering CLUSTER FORMATIONS
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KMeans Clustering ELBOW CURVE
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