Given a K-Means clustering problem with 5 clusters and 100 data points, how many distances need to be calculated in each iteration?
Question
Solution 1
In each iteration of the K-Means clustering algorithm, we need to calculate the distance of each data point to each cluster center.
Given that we have 5 clusters and 100 data points, the number of distances that need to be calculated in each iteration would be the product of the number of clusters Knowee AI StudyGPT is a powerful AI-powered study tool designed to help you to solve study prob
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