(Choose 1 answer)
Choose the best description of the K-Mean for segmentation
A. The k-means clustering algorithm attempts to fill in the missing data intervals to create new clusters.
B. It is used to identify data labels based on a given labeled dataset.
C. K Means is a classifying algorithm.
D. In the K-Mean algorithm, in the same data group, the closer to the central data point, the larger the difference in data will be.
E38
