Question: Question 7 Which one best describes the clustering process for k - means clustering? 1 point k - means divides the data into clusters with

Question 7
Which one best describes the clustering process for k-means clustering?
1 point
k-means divides the data into clusters with minimal overlap such that there are low chances of dissimilar samples in the same cluster.
k-means creates clusters by grouping data points with similar labels.
The objective of k-means is to form clusters in such a way that similar samples go into a cluster, and dissimilar samples fall into different clusters.
k-means clustering creates a tree of clusters.

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