Question: Implementing bisecting k-means clustering algorithm in C++, that randomly generated two dimensional real valued data points in a square 1.0

Implementing bisecting k-means clustering algorithm in C++, that randomly generated two dimensional real valued data points in a square 1.0 <=c, y<= 100.0.

Show result for two in separate cases k=2 and k =4. Then show the effect of using two different measures ( Euclidean and Manhattan).

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