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Which clustering algorithm is commonly used for grouping similar documents?
Which clustering algorithm is commonly used for grouping similar documents?
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Practice Questions
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Q1
Which clustering algorithm is commonly used for grouping similar documents?
K-means
Linear Regression
Decision Trees
Support Vector Machines
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K-means is a popular clustering algorithm used to group similar documents based on their content.
Questions & Step-by-step Solutions
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Q: Which clustering algorithm is commonly used for grouping similar documents?
Solution:
K-means is a popular clustering algorithm used to group similar documents based on their content.
Steps: 5
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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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