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What is a key advantage of using clustering in data analysis?
What is a key advantage of using clustering in data analysis?
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Practice Questions
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What is a key advantage of using clustering in data analysis?
It requires labeled data
It can reveal hidden patterns
It is always more accurate than supervised learning
It eliminates the need for data preprocessing
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A key advantage of clustering is that it can reveal hidden patterns in data without requiring labeled data.
Questions & Step-by-step Solutions
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Q
Q: What is a key advantage of using clustering in data analysis?
Solution:
A key advantage of clustering is that it can reveal hidden patterns in data without requiring labeled data.
Steps: 4
Show Steps
Step 1: Understand what clustering is. Clustering is a method used in data analysis to group similar data points together.
Step 2: Recognize that clustering does not need labeled data. This means you don't need to know what each data point represents beforehand.
Step 3: Realize that by grouping similar data points, clustering can help you find patterns or trends that you might not see otherwise.
Step 4: Conclude that the key advantage of clustering is its ability to uncover these hidden patterns in data without needing labels.
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