What is clustering in machine learning?
Understand the Problem
The question is asking to explain the concept of clustering in the context of machine learning. Clustering is a method in machine learning where data points are grouped together based on similarities. The goal is to categorize data into distinct groups without prior knowledge of the group definitions.
Answer
Clustering is an unsupervised machine learning technique designed to group unlabeled examples based on their similarity to each other.
Clustering in machine learning is an unsupervised technique that groups unlabeled data points based on their similarity to each other.
Answer for screen readers
Clustering in machine learning is an unsupervised technique that groups unlabeled data points based on their similarity to each other.
More Information
Clustering can be used in various applications, including market segmentation, social network analysis, and image segmentation.
Tips
A common mistake is confusing clustering with classification, which is a supervised learning technique.
Sources
- Clustering - Google Developers - developers.google.com
- Clustering in Machine Learning - GeeksforGeeks - geeksforgeeks.org
- What is Clustering in Machine Learning and How Does it Work? - TechTarget - techtarget.com
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