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Which algorithm is commonly used for clustering?
Which algorithm is commonly used for clustering?
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Which algorithm is commonly used for clustering?
Linear Regression
K-Means
Support Vector Machine
Decision Tree
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K-Means is a popular algorithm used for clustering, grouping data points into clusters based on similarity.
Questions & Step-by-step Solutions
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Q: Which algorithm is commonly used for clustering?
Solution:
K-Means is a popular algorithm used for clustering, grouping data points into clusters based on similarity.
Steps: 5
Show Steps
Step 1: Understand what clustering means. Clustering is a way to group similar items together.
Step 2: Learn about K-Means. K-Means is a method used to find these groups.
Step 3: Know how K-Means works. It takes data points and divides them into a specific number of clusters.
Step 4: Realize that K-Means looks for similarities. It groups data points that are close to each other.
Step 5: Remember that K-Means is popular because it is simple and effective for many types of data.
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