DA0-002 Data Analysis Practice Question
A data analyst is performing K-means clustering on customer data. Which THREE of the following are steps in the K-means algorithm?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Initialize k centroids randomly.
K-means involves initializing centroids, assigning points to nearest centroid, and updating centroids as the mean of assigned points.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Perform eigenvalue decomposition.
Why it's wrong here
Eigenvalue decomposition is used in PCA, not K-means.
- ✗
Calculate the correlation matrix.
Why it's wrong here
Correlation matrix is not part of K-means.
- ✓
Initialize k centroids randomly.
Why this is correct
Correct: initial step.
- ✓
Update centroids by computing the mean of all points assigned to each centroid.
Why this is correct
Correct: update step.
- ✓
Assign each data point to the nearest centroid.
Why this is correct
Correct: assignment step.
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