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Which clustering algorithm is commonly used for grouping similar documents?

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Question: Which clustering algorithm is commonly used for grouping similar documents?

Options:

  1. K-means
  2. Linear Regression
  3. Decision Trees
  4. Support Vector Machines

Correct Answer: K-means

Solution:

K-means is a popular clustering algorithm used to group similar documents based on their content.

Which clustering algorithm is commonly used for grouping similar documents?

Practice Questions

Q1
Which clustering algorithm is commonly used for grouping similar documents?
  1. K-means
  2. Linear Regression
  3. Decision Trees
  4. Support Vector Machines

Questions & Step-by-Step Solutions

Which clustering algorithm is commonly used for grouping similar documents?
  • Step 1: Understand what clustering means. Clustering is a way to group similar items together.
  • Step 2: Know that documents can be grouped based on their content, like words and topics.
  • Step 3: Learn about K-means, which is a method used to find these groups.
  • Step 4: K-means works by picking a number of groups (clusters) and then organizing the documents into these groups based on how similar they are.
  • Step 5: The algorithm keeps adjusting the groups until the documents are as similar as possible within each group.
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