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Data Preparation

This workflow clusters telco customers using the k-Means algorithm. As in all exploratory data mining, it is unknown beforehand what number of clusters will be appropriate, therefore the workflow allows the user to specify a range for the number of clusters to calculate. Each set of clusters has its cluster centers and variances presented both as a report and written automatically into a spreadsheet.



This workflow indentifies clusters of telecommunication customers using k-Means. Read and filter data Specify minimum/maximum k-clusters Reporting In order to see the report execute theentire workflow and then click "Open thereport" button in the toolbar. Clustercenter StatisticsCluster StatisticsFor each kMinimum kMaximum k Filter first 7 colschurn data; 3333 rowsData to Report Data to Report Interval Loop Start Loop End (2 ports) Cluster Statistics k-Means IntegerConfiguration IntegerConfiguration Column Filter Excel Reader Excel Writer This workflow indentifies clusters of telecommunication customers using k-Means. Read and filter data Specify minimum/maximum k-clusters Reporting In order to see the report execute theentire workflow and then click "Open thereport" button in the toolbar. Clustercenter StatisticsCluster StatisticsFor each kMinimum kMaximum k Filter first 7 colschurn data; 3333 rowsData to Report Data to Report Interval Loop Start Loop End (2 ports) Cluster Statistics k-Means IntegerConfiguration IntegerConfiguration Column Filter Excel Reader Excel Writer

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

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On NodePit since: 2021-04-20
Last update: 2024-04-27
Created with KNIME version: v4.3.0 nightly
Tags: Churn AnalysisCustomer IntelligenceCIclusterk-Meanstelco

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