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Which of the following is NOT a typical application of clustering?

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Question: Which of the following is NOT a typical application of clustering?

Options:

  1. Market segmentation
  2. Document classification
  3. Image compression
  4. Time series forecasting

Correct Answer: Time series forecasting

Solution:

Time series forecasting is not a typical application of clustering; it is more related to supervised learning.

Which of the following is NOT a typical application of clustering?

Practice Questions

Q1
Which of the following is NOT a typical application of clustering?
  1. Market segmentation
  2. Document classification
  3. Image compression
  4. Time series forecasting

Questions & Step-by-Step Solutions

Which of the following is NOT a typical application of clustering?
  • Step 1: Understand what clustering is. Clustering is a method used to group similar items together based on their characteristics.
  • Step 2: Identify typical applications of clustering. Common applications include customer segmentation, image recognition, and grouping similar documents.
  • Step 3: Recognize what time series forecasting is. Time series forecasting involves predicting future values based on previously observed values over time.
  • Step 4: Compare clustering with time series forecasting. Clustering is unsupervised learning (no labels), while time series forecasting is a type of supervised learning (uses labels).
  • Step 5: Conclude that time series forecasting is not a typical application of clustering.
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