Which of the following is a characteristic of K-means clustering?
Correct Answer: K-means clustering partitions data into non-overlapping clusters.
- Step 1: Understand that K-means clustering is a method used to group data points into clusters.
- Step 2: Know that each cluster has a center point called a centroid.
- Step 3: Realize that K-means assigns each data point to the cluster whose centroid is closest to it.
- Step 4: Remember that the clusters created do not overlap; each data point belongs to only one cluster.
No concepts available.
