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What is the primary goal of clustering in unsupervised learning?
What is the primary goal of clustering in unsupervised learning?
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Practice Questions
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Q1
What is the primary goal of clustering in unsupervised learning?
To predict future outcomes
To group similar data points together
To label data points
To reduce dimensionality
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Clustering aims to group similar data points together based on their features without prior labels.
Questions & Step-by-step Solutions
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Q
Q: What is the primary goal of clustering in unsupervised learning?
Solution:
Clustering aims to group similar data points together based on their features without prior labels.
Steps: 5
Show Steps
Step 1: Understand that clustering is a method used in unsupervised learning.
Step 2: Know that unsupervised learning means we don't have labeled data (no predefined categories).
Step 3: Learn that clustering groups data points based on their similarities.
Step 4: Realize that 'similarity' is determined by the features or characteristics of the data points.
Step 5: Conclude that the primary goal of clustering is to organize data into meaningful groups without any prior information.
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