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JKISeason2-2

Challenge 02: Segmentation of Credit Card Users

Visualization Search for three clusters Challenge 02: Segmentation of Credit Card UsersLevel: MediumDescription: Credit Card company ABC maintains information about customer purchases and payments. The information is available for individual customers as Payments Info and Purchase Info. Thecompany 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 build a clusteringmodel 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 assigncluster labels to newly registered customers using the trained clustering model, and then export the results into a CSV file. Do the assignments make sense? How do you assess their quality? perform clusteringassign colorsto classesassign shapeto clustersassign clusterto new data pointsDataTreat MissingsNormalize valuesdimension reductionOutliersNew CustomerCluster Viewk-Means Color Manager Shape Manager Cluster Assigner CSV Reader Missing Value Normalizer PCA Numeric Outliers Row Splitter (Labs) Scatter Plot Visualization Search for three clusters Challenge 02: Segmentation of Credit Card UsersLevel: MediumDescription: Credit Card company ABC maintains information about customer purchases and payments. The information is available for individual customers as Payments Info and Purchase Info. Thecompany 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 build a clusteringmodel 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 assigncluster labels to newly registered customers using the trained clustering model, and then export the results into a CSV file. Do the assignments make sense? How do you assess their quality? perform clusteringassign colorsto classesassign shapeto clustersassign clusterto new data pointsDataTreat MissingsNormalize valuesdimension reductionOutliersNew CustomerCluster Viewk-Means Color Manager Shape Manager Cluster Assigner CSV Reader Missing Value Normalizer PCA Numeric Outliers Row Splitter (Labs) Scatter Plot

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Created by: a.dashti
Created at: 2023-04-11
On NodePit since: 2023-04-11
Last update: 2024-04-27
Created with KNIME version: v4.7.0
Tags: JKISeason2-2

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