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What is a key challenge when applying clustering algorithms?
Practice Questions
Q1
What is a key challenge when applying clustering algorithms?
Choosing the right number of clusters
Data normalization
Feature selection
All of the above
Questions & Step-by-Step Solutions
What is a key challenge when applying clustering algorithms?
Steps
Concepts
Step 1: Understand that clustering algorithms group similar data points together.
Step 2: Identify that one challenge is choosing the right number of clusters, which means deciding how many groups to create.
Step 3: Recognize that data normalization is important, which means adjusting the data so that it is on a similar scale.
Step 4: Learn that feature selection is crucial, which involves picking the most important characteristics of the data to use for clustering.
No concepts available.
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