P71Unsupervised LearningIntermediateChoose5 min
Choose Whether to Standardize Features Before K-Means
Decide scaling for distance-based clustering.
#choose#clustering#standardization
Scenario
annual_spend ranges from 500 to 200,000 and purchase_frequency from 1 to 30.
Problem statement
Decide whether to standardize before K-Means.
Your Task
- Choose an approach.
- Explain distance dominance.
- Name a caveat.
Related Concepts
Euclidean distanceK-Means
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