Which of the following is a key step in the K-means algorithm?

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Question: Which of the following is a key step in the K-means algorithm?

Options:

Correct Answer: Assigning data points to the nearest cluster centroid

Solution:

A key step in K-means is assigning data points to the nearest cluster centroid based on distance.

Which of the following is a key step in the K-means algorithm?

Which of the following is a key step in the K-means algorithm?

Step 1: Start with a set of data points that you want to group into clusters.
Step 2: Choose the number of clusters (K) you want to create.
Step 3: Randomly select K points from the data as the initial cluster centroids.
Step 4: For each data point, calculate the distance to each of the K centroids.
Step 5: Assign each data point to the cluster whose centroid is closest (the nearest one).
Step 6: After all points are assigned, recalculate the centroids of the clusters based on the assigned points.
Step 7: Repeat steps 4 to 6 until the centroids no longer change significantly or a set number of iterations is reached.

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