AI0-001 AI Concepts and Techniques Practice Question
In unsupervised learning, which task involves grouping similar data points together based on feature similarities?
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
✓
Clustering
Clustering partitions data into groups where intra-cluster similarity is high. Classification is supervised; anomaly detection finds outliers; regression predicts continuous values.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Anomaly detection
Why it's wrong here
Anomaly detection identifies rare items, not grouping.
- ✗
Classification
Why it's wrong here
Classification is a supervised task requiring labeled data.
- ✓
Clustering
Why this is correct
Clustering groups unlabeled data based on similarity.
- ✗
Regression
Why it's wrong here
Regression predicts continuous values, not grouping.
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Written by Johnson Ajibi, MSc IT Security
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