JKISeason2-2_tark
JKISeason2-2
https://www.knime.com/just-knime-it
Challenge 02: Segmentation of Credit Card Users
Level: Medium
Description: Credit Card company ABC maintains information about customer purchases and payments. The information is available 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 build a 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 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?
Author: Mahantesh Pattadkal
Dataset: Customer Data on Kaggle
Nodes
- Bar Chart8 ×
- Column Filter6 ×
- Row Filter6 ×
- Statistics6 ×
- Color Manager2 ×
- Column Rename (Regex)2 ×
- Image Output Widget2 ×
- PCA Apply2 ×
- Pivoting2 ×
- Scatter Plot (JavaScript)2 ×
- Silhouette Coefficient2 ×
- Sorter2 ×
- CSV Reader1 ×
- Cluster Assigner1 ×
- Joiner1 ×
- Missing Value1 ×
- Normalizer1 ×
- Normalizer (Apply)1 ×
- PCA Compute1 ×
- Partitioning1 ×
- k-Means1 ×
Extensions
- FeatureKNIME Base nodes
- FeatureKNIME Distance Matrix
- FeatureKNIME JavaScript Views
- FeatureKNIME Quick Forms
- FeatureKNIME Statistics Nodes