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ElbowMethod rfeigel

Elbow Method

Elbow method to determine the number of clusters, applied to simulated data with 6 clusters.

adding cluster centercolumnsRenumbering rowsCollect Wkfrom different kNormalize numerical attributesSet k UpperLimitRenumbering rowsLoop over kCombiningk and WkPlotting Wk vs kRead ToyDataLagSum(squared errors)ComputeLag RatioSelect Largest LagRatio (Optimum# Clusters)Node 621Node 622Node 624k-Means Joiner (deprecated) RowID Loop End(deprecated) Normalizer k-table RowID Table Row To VariableLoop Start (deprecated) Column Appender Line Plot Table Reader Lag Column Math Formula Top k Selector k-Means Table Rowto Variable Scatter Plot CalculateSquaredDist adding cluster centercolumnsRenumbering rowsCollect Wkfrom different kNormalize numerical attributesSet k UpperLimitRenumbering rowsLoop over kCombiningk and WkPlotting Wk vs kRead ToyDataLagSum(squared errors)ComputeLag RatioSelect Largest LagRatio (Optimum# Clusters)Node 621Node 622Node 624k-Means Joiner (deprecated) RowID Loop End(deprecated) Normalizer k-table RowID Table Row To VariableLoop Start (deprecated) Column Appender Line Plot Table Reader Lag Column Math Formula Top k Selector k-Means Table Rowto Variable Scatter Plot CalculateSquaredDist

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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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Created by: Satoru
Created at: 2020-11-19
On NodePit since: 2023-06-01
Last update: 2024-11-21
Created with KNIME version: v4.7.3
Tags: elbow methodk-meansclustering

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