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What is the primary purpose of linear regression in machine learning, and how does it differ from classification and clustering?
A
Determining the category, type, or class of an item or data row.
B
Grouping data points into similar clusters, also known as segmentation.
C
Developing algorithms that use features of individual items to find similarities.
D
Applying clustering to demographics for grouping similar people or using text analysis to categorize sentences by topic or sentiment.
