COMPUTER SCIENCE AND ENGINEERING
MACHINE LEARNING
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Which of the following is an appropriate use case for unsupervised learning?
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Partitioning an image of a street scene into multiple segments
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Finding an optimal path out of a maze
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Identifying clusters of housing sales based on related data points
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Analyzing sentiment of social media posts
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Explanation:
Detailed explanation-1: -Clustering and Association are two types of Unsupervised learning.
Detailed explanation-2: -Clustering is the most common unsupervised learning algorithm used to explore the data analysis to find hidden patterns or groupings in the data (Fig. 12.3). Applications for cluster analysis include gene sequence analysis, market research and object recognition.
Detailed explanation-3: -The classification of heavenly bodies such as stars and planets is automatic; hence it is an example unsupervised Learning.
Detailed explanation-4: -Unsupervised learning is commonly used for finding meaningful patterns and groupings inherent in data, extracting generative features, and exploratory purposes.
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