Apply k-means algorithm to data given below for k= 2. Assume that at first, clusters are...

 

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Apply k-means algorithm to data given below for k= 2. Assume that at first, clusters are C₁=X₁, X2, X4} and C₂={X3, X5}. The distance function is Euclidean distance. Data objects X₁ X₂ X3 X4 X5 Variable- 1 4 6 5 10 11 Variable-2 2 4 1 6 8 a) Find the new clusters and show the steps of the algorithm. b) Show the new clusters on the plot. Apply k-means algorithm to data given below for k= 2. Assume that at first, clusters are C₁=X₁, X2, X4} and C₂={X3, X5}. The distance function is Euclidean distance. Data objects X₁ X₂ X3 X4 X5 Variable- 1 4 6 5 10 11 Variable-2 2 4 1 6 8 a) Find the new clusters and show the steps of the algorithm. b) Show the new clusters on the plot.

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A finding new clusters 1The centroid of C1 is 46103 2463 203 4 2The centroid of C2 is 5112 182 8 45 Next we calculate the Euclidean distance from each data point to each centroid The Euclidean distanc... View the full answer