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Which of the following statements is true about K-means clustering?
Which of the following statements is true about K-means clustering?
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Practice Questions
1 question
Q1
Which of the following statements is true about K-means clustering?
It can only be applied to large datasets
It is sensitive to the initial placement of centroids
It guarantees finding the global optimum
It can handle categorical data directly
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K-means is sensitive to the initial placement of centroids, which can affect the final clustering result.
Questions & Step-by-step Solutions
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Q
Q: Which of the following statements is true about K-means clustering?
Solution:
K-means is sensitive to the initial placement of centroids, which can affect the final clustering result.
Steps: 6
Show Steps
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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