Icon

05-clustering-football-solution

Data preparation - clustering Modelling Internal evaluation evaluation Group data into clusters DBSCAN Estimate upper bound for epsilon Internal Evaluation with Silhouette Input SiegeNiederlagenUnentschiedenClusteringTordifferenzGet all kNN with distancesOnly keep distances...Only keep distance valuesSort by distancePlot points/distancesNode 63append parameterInclude coordinates of cluster center for each pointOnly keep squared distance valuesGruppieren nach Teams (Heimteam)Node 604Append ParameterGruppieren nach Teams (Gastteam)Node 607Node 608Node 609Test different kSum up squared distancesOnly keep attributesand their meansSummarizeNode 615Keep onlydatapoints andcluster center's datapointshome teams with number gamesNode 628home teamaway teamaway teams with number gamesNode 632Node 633Node 634Node 635realtiv wins homerelative loss homerelative tie homerealtiv wins awayrealtiv loss awayrealtiv tie awayrelative dataNode 655Group databy clusterCluster ViewSiege-GastNiederlagenUnentschiedenTordifferenzCalculate squared distanceNode 665change loop_value inNumber of ClustersFilter out data rows, if desiredClusteringDistancesGroup into clustersShow clustersNode 677Node 678... to the k-th NNNode 681 Math Formula Math Formula Math Formula k-Means Math Formula Similarity Search Column Filter Column Filter Sorter Line Plot (local) SilhouetteCoefficient Variable toTable Column Joiner Column Filter GroupBy Normalizer Variable to TableColumn (deprecated) GroupBy Joiner Column Rename Column Filter Interval Loop Start GroupBy Column Filter Loop End Scatter Plot(local) Column Filter GroupBy Column Rename Column Filter Column Filter GroupBy Column Rename Joiner Joiner Column Rename Math Formula Math Formula Math Formula Math Formula Math Formula Math Formula Column Filter Normalizer GroupBy Table View Math Formula Math Formula Math Formula Math Formula Java Snippet Column Filter Column Rename Row Filter DBSCAN Distance MatrixCalculate GroupBy Table View File Reader Joiner (Labs) Row Filter (Labs) Row Filter (Labs) Data preparation - clustering Modelling Internal evaluation evaluation Group data into clusters DBSCAN Estimate upper bound for epsilon Internal Evaluation with Silhouette Input SiegeNiederlagenUnentschiedenClusteringTordifferenzGet all kNN with distancesOnly keep distances...Only keep distance valuesSort by distancePlot points/distancesNode 63append parameterInclude coordinates of cluster center for each pointOnly keep squared distance valuesGruppieren nach Teams (Heimteam)Node 604Append ParameterGruppieren nach Teams (Gastteam)Node 607Node 608Node 609Test different kSum up squared distancesOnly keep attributesand their meansSummarizeNode 615Keep onlydatapoints andcluster center's datapointshome teams with number gamesNode 628home teamaway teamaway teams with number gamesNode 632Node 633Node 634Node 635realtiv wins homerelative loss homerelative tie homerealtiv wins awayrealtiv loss awayrealtiv tie awayrelative dataNode 655Group databy clusterCluster ViewSiege-GastNiederlagenUnentschiedenTordifferenzCalculate squared distanceNode 665change loop_value inNumber of ClustersFilter out data rows, if desiredClusteringDistancesGroup into clustersShow clustersNode 677Node 678... to the k-th NNNode 681Math Formula Math Formula Math Formula k-Means Math Formula Similarity Search Column Filter Column Filter Sorter Line Plot (local) SilhouetteCoefficient Variable toTable Column Joiner Column Filter GroupBy Normalizer Variable to TableColumn (deprecated) GroupBy Joiner Column Rename Column Filter Interval Loop Start GroupBy Column Filter Loop End Scatter Plot(local) Column Filter GroupBy Column Rename Column Filter Column Filter GroupBy Column Rename Joiner Joiner Column Rename Math Formula Math Formula Math Formula Math Formula Math Formula Math Formula Column Filter Normalizer GroupBy Table View Math Formula Math Formula Math Formula Math Formula Java Snippet Column Filter Column Rename Row Filter DBSCAN Distance MatrixCalculate GroupBy Table View File Reader Joiner (Labs) Row Filter (Labs) Row Filter (Labs)

Nodes

Extensions

Links

Download

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

Download Workflow
Created by: tlauer1
Created at: 2018-06-20
On NodePit since: 2021-11-16
Last update: 2024-04-25
Created with KNIME version: v4.2.1

Deploy, schedule, execute, and monitor your KNIME workflows locally, in the cloud or on-premises – with our brand new NodePit Runner.

Try NodePit Runner!