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JKISeason2-2

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Challenge 02: Segmentation of Credit Card UsersLevel: MediumDescription: Credit Card company ABC maintains information about customer purchases and payments. The information isavailable for individual customers as Payments Info and Purchase Info. The company wants to segment the customers into three (3)clusters, so that marketing campaigns can be designed according to each cluster. You are asked to use both infos together to builda clustering model that adequately segments the customers. What patterns do customers in the same cluster have in common?Also, Information for newly registered customers is available. You are asked to assign cluster labels to newly registered customersusing the trained clustering model, and then export the results into a CSV file. Do the assignments make sense? How do youassess their quality? Node 1Node 2Node 3Node 4Node 5Node 6Node 7Node 8Node 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16 CSV Reader Row Splitter Missing Value Missing Value(Apply) Normalizer k-Means Normalizer (Apply) Denormalizer Color Manager Scatter Plot SilhouetteCoefficient Cluster Assigner Denormalizer Scatter Plot Color Manager CSV Writer Challenge 02: Segmentation of Credit Card UsersLevel: MediumDescription: Credit Card company ABC maintains information about customer purchases and payments. The information isavailable for individual customers as Payments Info and Purchase Info. The company wants to segment the customers into three (3)clusters, so that marketing campaigns can be designed according to each cluster. You are asked to use both infos together to builda clustering model that adequately segments the customers. What patterns do customers in the same cluster have in common?Also, Information for newly registered customers is available. You are asked to assign cluster labels to newly registered customersusing the trained clustering model, and then export the results into a CSV file. Do the assignments make sense? How do youassess their quality? Node 1Node 2Node 3Node 4Node 5Node 6Node 7Node 8Node 9Node 10Node 11Node 12Node 13Node 14Node 15Node 16 CSV Reader Row Splitter Missing Value Missing Value(Apply) Normalizer k-Means Normalizer (Apply) Denormalizer Color Manager Scatter Plot SilhouetteCoefficient Cluster Assigner Denormalizer Scatter Plot Color Manager CSV Writer

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