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1 A2 2 DIMENSIONAL ANALYSIS and DATA ORGANIZATION A2 2 0 Me Utexas  Form

1 A2 2 DIMENSIONAL ANALYSIS and DATA ORGANIZATION A2 2 0 Me Utexas Form

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welcome back in this video I will discuss how to use k-means clustering algorithm to divide the given data set into different clusters in this case we have been given eight data points A1 A2 A3 B1 B2 B3 C1 and C2 we need to use equilibrium distance and the K means clustering algorithm also we have been given initial centroids that is A1 B1 C1 should be considered as the initial centroids considering this we need to divide the data set into different clusters over here if initial centroids are not given you can select any of these particular points as the initial centroids and then you can continue applying the cayman's algorithm over there now these are the data points given to us given this particular data points uh we need to calculate the distance from these particular data points to the initial centroids initial centroids are A1 B1 and C1 so I will write that particular A1 B1 C1 over here so what we need to do is we need to calculate the distance from this particular A1 to this par

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