What is the primary objective of clustering in Unsupervised Learning?

Options

  • A. To group similar data objects together without using predefined class labels
  • B. To predict a known target value from labeled data
  • C. To classify data using predefined labels only
  • D. To calculate only the accuracy of a supervised model
  • E. None of the above

Correct Answer (Detailed Explanation is Below)

A. To group similar data objects together without using predefined class labels

Detailed Explanation

Clustering is an unsupervised learning technique that groups data objects based on their similarity or distance. Unlike classification, clustering does not require predefined class labels. It is commonly used for customer segmentation, pattern discovery, and exploratory data analysis.

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