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What is the initial step in the K-means algorithm?
What is the initial step in the K-means algorithm?
- Assign each object to the cluster with the nearest seed point (correct)
- Readjust centers
- Iterate over each point and get distance to each cluster center
- Recalculate centers as the mean of the points in a cluster
What is done when there are no changes in the assignment of points to clusters in K-means?
What is done when there are no changes in the assignment of points to clusters in K-means?
- The algorithm restarts from the beginning
- The cluster centers are recalculated
- The algorithm is considered done (correct)
- The points are reassigned to the nearest center
What is the purpose of recalculating centers in K-means?
What is the purpose of recalculating centers in K-means?
- To assign each object to the cluster with the nearest seed point
- To readjust centers
- To find the mean of the points in a cluster (correct)
- To iterate over each point and get distance to each cluster center
What does 'hard clustering' refer to in K-means?
What does 'hard clustering' refer to in K-means?
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What action is taken if there are no changes after reassigning points and readjusting centers in K-means?
What action is taken if there are no changes after reassigning points and readjusting centers in K-means?
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