Which of the following is an example of a clustering problem that can be resolved by unsupervised learning?

The correct answer is A. Associating shoppers with their shopping tendencies. The syllabus defines clustering as: "Clustering: This is when the problem requires the identification of similarities in input data points that allows them to be grouped based on common characteristics or attributes. For example, clustering is used to categorize different types…

Machine Learning (ML)

Question

Options

AAssociating shoppers with their shopping tendencies
BGrouping individual fish together based on their types of fins
CClassifying muffin purchases based on the perceived attractiveness of their packaging
DEstimating the expected purchase of cat food after a particularly successful ad campaign

How the community answered

(25 responses)

A
80% (20)
B
4% (1)
C
4% (1)
D
12% (3)

Explanation

The syllabus defines clustering as: "Clustering: This is when the problem requires the identification of similarities in input data points that allows them to be grouped based on common characteristics or attributes. For example, clustering is used to categorize different types of customers for the purpose of marketing."

Topics

#unsupervised learning#clustering#customer segmentation#supervised vs unsupervised

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