10 Questions
What is the primary purpose of data discretization?
To categorize data into distinct groups
Which method of discretization involves top-down splitting and is supervised?
Decision-tree analysis
What is the result of discretizing a numeric attribute?
A categorical variable
Which method of discretization involves bottom-up merging and is unsupervised?
Correlation analysis
What is the primary difference between binning and clustering?
Binning involves equal frequency, while clustering involves equal interval width
What is the purpose of histogram analysis in data discretization?
To summarize the distribution of a given attribute
Which of the following is an example of conceptual labels in data discretization?
Youth, adult, senior
What is the advantage of using K-means clustering in data discretization?
It leads to better results
Which of the following is a supervised method of discretization?
Decision-tree analysis
What is the primary characteristic of unsupervised discretization methods?
They do not use class labels
Test your understanding of data transformation, a crucial step in data preprocessing. This quiz covers data cleaning, integration, reduction, and transformation, including tasks such as handling missing values, data compression, and dimensionality reduction.
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