BDI302cXuất hiện trong 2 đề thi
The main steps in the k-means clustering algorithm are:
Các lựa chọn
AAssign each sample to the closest centroid, then calculate the new centroid.
BCalculate the centroids, then determine the appropriate stopping criterion depending on the number of centroids.
CCalculate the distances between the cluster centroids, then find the two closest centroids.
DCount the number of samples, then determine the initial centroids.