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02_​Parallel_​Generation_​of_​a_​Data_​Set_​containing_​Clusters

Generating gaussian clusters in parallel
This workflow generates three clusters with three dimensions in parallel and joins them afterwards. Create RowsAssign Cluster IdentityCreate 1st dimensionCreate 2nd dimensionCreate 3rd dimensionOriginal assignmentsNormalize for clusteringGet unnormalizedClustering resultsAdd some noise Empty Table Creator Random LabelAssigner Gaussian DistributedAssigner Color Manager Gaussian DistributedAssigner Gaussian DistributedAssigner Scatter Matrix(local) Normalizer Joiner Color Manager Scatter Matrix(local) Joiner Joiner Stresser k-Means This workflow generates three clusters with three dimensions in parallel and joins them afterwards. Create RowsAssign Cluster IdentityCreate 1st dimensionCreate 2nd dimensionCreate 3rd dimensionOriginal assignmentsNormalize for clusteringGet unnormalizedClustering resultsAdd some noiseEmpty Table Creator Random LabelAssigner Gaussian DistributedAssigner Color Manager Gaussian DistributedAssigner Gaussian DistributedAssigner Scatter Matrix(local) Normalizer Joiner Color Manager Scatter Matrix(local) Joiner Joiner Stresser k-Means

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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: 2019-07-12
Last update: 2024-04-23
Created with KNIME version: v4.1.0
Tags: gaussian distributionclusteringdata generation

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