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k-Nearest-Neighbors The K-nearest-neighbors technique call create segments based on product proximity to similar products of the duces offered as well as the propensity to purchase

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k-Nearest-Neighbors The K-nearest-neighbors technique call create segments based on product proximity to similar products of the duces offered as well as the propensity to purchase (as measured by the RFM ables). For The An History of Florence, a possible segmentation by product Kimity could be created using the following variables: R: recency-months since last purchase F: frequency-total number of past purchases 1/: monetary-total money (in dollars) spent on books FirstPunch: months since first purchase

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