Question: For the data {(0,0), (1,0), (1,1), (0,5), (1,5), (5,5), (6,5), (6,4)} by taking k = 3. By taking the seed points to be the first

For the data {(0,0), (1,0), (1,1), (0,5), (1,5), (5,5), (6,5), (6,4)} by taking k = 3. By taking the seed points to be the first three points, viz., (0,0), (1,0), and (1,1) employ k-means where pictorially you need to show the partition after each iteration. Please give your computations in the form of intermediate steps. perform clustering using both euclidean and Manhattan distance

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The detailed answer for the above question is provided below KMeans Clustering Steps with Euclidean Distance Step 1 Initialization Given data points 00 10 11 05 15 55 65 64 Seed points 00 10 11 Step 2 ... View full answer

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