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Questions and Answers
What is the primary purpose of data discretization?
What is the primary purpose of data discretization?
- To summarize the distribution of a given attribute
- To replace numeric values with exact labels
- To categorize data into distinct groups (correct)
- To perform recursive analysis on an attribute
Which method of discretization involves top-down splitting and is supervised?
Which method of discretization involves top-down splitting and is supervised?
- Clustering analysis
- Binning
- Histogram analysis
- Decision-tree analysis (correct)
What is the result of discretizing a numeric attribute?
What is the result of discretizing a numeric attribute?
- A correlated variable
- A continuous distribution
- A supervised variable
- A categorical variable (correct)
Which method of discretization involves bottom-up merging and is unsupervised?
Which method of discretization involves bottom-up merging and is unsupervised?
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What is the primary difference between binning and clustering?
What is the primary difference between binning and clustering?
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What is the purpose of histogram analysis in data discretization?
What is the purpose of histogram analysis in data discretization?
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Which of the following is an example of conceptual labels in data discretization?
Which of the following is an example of conceptual labels in data discretization?
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What is the advantage of using K-means clustering in data discretization?
What is the advantage of using K-means clustering in data discretization?
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Which of the following is a supervised method of discretization?
Which of the following is a supervised method of discretization?
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What is the primary characteristic of unsupervised discretization methods?
What is the primary characteristic of unsupervised discretization methods?
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