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Data Transformation in Data Preprocessing

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Data Transformation in Data Preprocessing

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Questions and Answers

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?

Clustering analysis

Binning

Histogram analysis

Decision-tree analysis (correct)

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?

Correlation analysis Signup and view all the answers

What is the primary difference between binning and clustering?

Binning involves equal frequency, while clustering involves equal interval width Signup and view all the answers

What is the purpose of histogram analysis in data discretization?

To summarize the distribution of a given attribute Signup and view all the answers

Which of the following is an example of conceptual labels in data discretization?

Youth, adult, senior Signup and view all the answers

What is the advantage of using K-means clustering in data discretization?

It leads to better results Signup and view all the answers

Which of the following is a supervised method of discretization?

Decision-tree analysis Signup and view all the answers

What is the primary characteristic of unsupervised discretization methods?

They do not use class labels Signup and view all the answers