Question: Which of the following is NOT a common application of clustering?
Options:
Market segmentation
Anomaly detection
Image classification
Document clustering
Correct Answer: Image classification
Solution:
Image classification typically involves supervised learning, while clustering is unsupervised.
Which of the following is NOT a common application of clustering?
Practice Questions
Q1
Which of the following is NOT a common application of clustering?
Market segmentation
Anomaly detection
Image classification
Document clustering
Questions & Step-by-Step Solutions
Which of the following is NOT a common application of clustering?
Step 1: Understand what clustering is. Clustering is a method used in data analysis to group similar items together without prior labels.
Step 2: Identify common applications of clustering. Common applications include customer segmentation, market research, and anomaly detection.
Step 3: Recognize that image classification is a different process. Image classification usually requires labeled data to train a model, which is a form of supervised learning.
Step 4: Compare clustering with image classification. Since clustering does not use labeled data, it is not typically used for image classification.
No concepts available.
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