Which of the following statements is true about K-means clustering?

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Question: Which of the following statements is true about K-means clustering?

Options:

Correct Answer: It is sensitive to the initial placement of centroids

Solution:

K-means is sensitive to the initial placement of centroids, which can affect the final clustering result.

Which of the following statements is true about K-means clustering?

Which of the following statements is true about K-means clustering?

Correct Answer: K-means is sensitive to the initial placement of centroids.

Step 1: Understand what K-means clustering is. It is a method used to group data points into clusters based on their similarities.
Step 2: Learn about centroids. In K-means, a centroid is the center point of a cluster.
Step 3: Know that K-means starts by randomly placing centroids in the data space.
Step 4: Realize that the initial placement of these centroids can lead to different clustering results.
Step 5: Understand that if the centroids are placed poorly, the algorithm may not find the best clusters.
Step 6: Conclude that K-means is sensitive to where the centroids start, which can affect the final outcome of the clustering.

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