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honey7733
Is there an existing issue for this?
Feature Description
Create a K-means clustering algorithm to group customers of a retail store based on their purchase history.
Use Case
A retail store wants to understand their customer base better to develop targeted marketing campaigns and improve customer satisfaction. They have a dataset containing customer purchase history, including information like:
Customer ID Transaction date Amount spent Items purchased (optional) By applying K-means clustering to this data, the store can segment customers into groups with similar buying behaviors. This helps them create targeted marketing campaigns for each segment.
Benefits
No response
Add ScreenShots
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Priority
High
Record