Question: In k-means clustering, what is the term for the prototype data point that's obtained by taking the average value for each attribute of all points

In k-means clustering, what is the term for the prototype data point that's obtained by taking the average value for each attribute of all points in a cluster? median root kernel centroid Question 2 50 pts Which of the following is a possible way to normalize a dataset? Use an ISNUMBER function in Excel to make sure each attribute has only numeric values Sort all numeric values in each column to be in increasing order Divide all values in the dataset by 100 Rescale all attributes to have a minimum value of O and a maximum value of 1
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