Now you need to start identifying and removing extreme values or outliers from our dataset. These values can tilt our analysis and often provide us with a biased perspective of the data available.
3. Data Preprocessing 3.1 Handle Outliers The RFM dataset contains extreme values (e.g., Recency = 739 days and Monetary = £608,821). Since K-Means uses the mean to calculate cluster centroids, these ...
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