Which of the following is NOT a typical use case for clustering?
Practice Questions
Q1
Which of the following is NOT a typical use case for clustering?
Image segmentation
Anomaly detection
Predicting stock prices
Document clustering
Questions & Step-by-Step Solutions
Which of the following is NOT a typical use case for clustering?
Step 1: Understand what clustering is. Clustering is a method used in unsupervised learning to group similar items together based on their features.
Step 2: Identify typical use cases for clustering. Common use cases include customer segmentation, image recognition, and grouping similar documents.
Step 3: Recognize what supervised learning is. Supervised learning involves training a model on labeled data to make predictions.
Step 4: Analyze the question. The question asks for a use case that is NOT typical for clustering.
Step 5: Consider predicting stock prices. This task requires labeled data (historical stock prices) to train a model, making it a supervised learning task.
Step 6: Conclude that predicting stock prices is not a typical use case for clustering.
