Which step is NOT part of the K-means algorithm? A) Calculate the total distance from all points to centroids B) Assign points to clusters C) Choose centroids at random D) Iterate... Which step is NOT part of the K-means algorithm? A) Calculate the total distance from all points to centroids B) Assign points to clusters C) Choose centroids at random D) Iterate until convergence
Understand the Problem
The question is asking to identify which step listed is not a part of the K-means algorithm. This involves understanding the processes that are part of the K-means clustering method.
Answer
Calculate the total distance from all points to centroids.
The final answer is Calculate the total distance from all points to centroids.
Answer for screen readers
The final answer is Calculate the total distance from all points to centroids.
More Information
In K-means, we iteratively assign points to the nearest centroid and adjust the centroid until convergence. Calculating the total distance from all points to centroids is not a specific step in the iterative process.
Tips
A common mistake is confusing the calculation of total distance for evaluating the quality of clusters with a step in the algorithm.
Sources
- K-Means Clustering Explained - Neptune.ai - neptune.ai
- Machine-Learning-Specialization-Coursera/C3 ... - GitHub - github.com
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