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Which of the following is a characteristic of K-means clustering?

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Question: Which of the following is a characteristic of K-means clustering?

Options:

  1. It can produce overlapping clusters
  2. It is deterministic and produces the same result every time
  3. It can handle noise and outliers effectively
  4. It partitions data into non-overlapping clusters

Correct Answer: It partitions data into non-overlapping clusters

Solution: 

K-means clustering partitions data into non-overlapping clusters, assigning each data point to the nearest centroid.

Which of the following is a characteristic of K-means clustering?

Practice Questions

Q1
Which of the following is a characteristic of K-means clustering?
  1. It can produce overlapping clusters
  2. It is deterministic and produces the same result every time
  3. It can handle noise and outliers effectively
  4. It partitions data into non-overlapping clusters

Questions & Step-by-Step Solutions

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.
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