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Which algorithm is commonly used for clustering?

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Question: Which algorithm is commonly used for clustering?

Options:

  1. Linear Regression
  2. K-Means
  3. Support Vector Machine
  4. Decision Tree

Correct Answer: K-Means

Solution: 

K-Means is a popular algorithm used for clustering, grouping data points into clusters based on similarity.

Which algorithm is commonly used for clustering?

Practice Questions

Q1
Which algorithm is commonly used for clustering?
  1. Linear Regression
  2. K-Means
  3. Support Vector Machine
  4. Decision Tree

Questions & Step-by-Step Solutions

Which algorithm is commonly used for clustering?
Correct Answer: K-Means
  • 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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