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kMeanskOpt NoClass

This loop selects random data for clustering (70:30). The 30 are ignored. This loop offers several k (here: 1-10) and calculates the Silhouette which is then used to select the best k per loop and later the k thatmostly appeared to be good. IrisNode 2Node 470/30Loop kk loopiter 2 k0-1k to colSilhouettebest k firstfirst rowLoop RandData SelSelect kbest k firstNode 42rand dataNode 44 File Reader k-Means Cluster Assigner Partitioning Counting Loop Start Loop End Java Edit Variable Normalizer Variable to TableColumn (deprecated) CalcStats Sorter Row Filter Counting Loop Start GroupBy Sorter Scatter Plot(JFreeChart) Loop End (2 ports) Column Filter This loop selects random data for clustering (70:30). The 30 are ignored. This loop offers several k (here: 1-10) and calculates the Silhouette which is then used to select the best k per loop and later the k thatmostly appeared to be good. IrisNode 2Node 470/30Loop kk loopiter 2 k0-1k to colSilhouettebest k firstfirst rowLoop RandData SelSelect kbest k firstNode 42rand dataNode 44 File Reader k-Means Cluster Assigner Partitioning Counting Loop Start Loop End Java Edit Variable Normalizer Variable to TableColumn (deprecated) CalcStats Sorter Row Filter Counting Loop Start GroupBy Sorter Scatter Plot(JFreeChart) Loop End (2 ports) Column Filter

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Created by: cengizkhan-pc
Created at: 2019-11-02
On NodePit since: 2019-11-06
Last update: 2024-11-18
Created with KNIME version: v4.3.2

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