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Customer Segmentation

Performing a k-Means clustering This workflow shows how to apply k-Means clustering to segmentcustomer data.The attributes used for clustering are:- Annual Income (k$)- Spending Score (1-100)For more background information on the dataset see https://www.kaggle.com/vjchoudhary7/customer-segmentation-tutorial-in-python read the data preprocessing apply k-Means visualization clustering quality read dataMall_Customers.csvnormalize attributesAnnual IncomeSpending Scorek=3 MISSING CSV Reader Normalizer k-Means SilhouetteCoefficient Color Manager Scatter Plot Performing a k-Means clustering This workflow shows how to apply k-Means clustering to segmentcustomer data.The attributes used for clustering are:- Annual Income (k$)- Spending Score (1-100)For more background information on the dataset see https://www.kaggle.com/vjchoudhary7/customer-segmentation-tutorial-in-python read the data preprocessing apply k-Means visualization clustering quality read dataMall_Customers.csvnormalize attributesAnnual IncomeSpending Scorek=3 MISSING CSV Reader Normalizer k-Means SilhouetteCoefficient Color Manager Scatter Plot

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Created by: elisabeth.richter
Created at: 2021-02-17
On NodePit since: 2022-02-22
Last update: 2024-04-30
Created with KNIME version: v4.1.4

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