The conversation between human and AI assistant.
What algorithm would you use to group points in a cluster from a given set of points?
And what is the basic idea behind the k-means algorithm?
The basic idea behind k-means is to find k centers, one for each cluster, such that the average distance between data points and their assigned centers is minimized. In other words, the algorithm tries to minimize the sum of squared distances between data points and their assigned centers. The algorithm iteratively assigns data points to the nearest center, then recalculates the center of each cluster based on the current assignment of data points. This process continues until the centers no longer move or until a predetermined number of iterations is reached.