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

Practice Questions

Q1
Which of the following statements is true regarding K-means clustering?
  1. It can only be applied to spherical clusters
  2. It is sensitive to the initial placement of centroids
  3. It guarantees finding the global optimum
  4. It can handle categorical data directly

Questions & Step-by-Step Solutions

Which of the following statements is true regarding K-means clustering?
  • 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 final clusters may not represent the data well.
  • Step 6: Conclude that K-means clustering is sensitive to where the centroids start, which affects the outcome.
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