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CalcSquareDistance_​SampleWorkflow

This workflow illustrates the usage of component "CalcSquaredDistance" for the internal evaluation of k-Means clustering results.

generated data2 clusters / 4 dimensionsapply the k-Meansadds k to the result tablevary kelbow curveNode 25Data Generator k-Means CalcSquaredDistances Variable toTable Column Parameter OptimizationLoop Start Scatter Plot Loop End generated data2 clusters / 4 dimensionsapply the k-Meansadds k to the result tablevary kelbow curveNode 25Data Generator k-Means CalcSquaredDistances Variable toTable Column Parameter OptimizationLoop Start Scatter Plot Loop End

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

Download Workflow
Created by: thagen
Created at: 2022-04-20
On NodePit since: 2022-04-22
Last update: 2024-12-17
Created with KNIME version: v4.5.1
Tags: Clustering

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