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20211201 Pikairos Handling missing value in clustered data

20211021 Pikairos Scoring new clusters with existing cluster centers

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Group byCluster LabelColumnFill Missing Valuesin every Columnbased onAverage or MedianColumn ValuesSplit Data intoTrainingand Test SetsLoad irisdata asDummy DataLet's imagine thatthis node generatedyour initial k-means vectorsEnd your Loopwith this nodeto concatenate backall the rows ofyour Training Datasetand all the rowsof your DesiredMissing ValuesGroup byCluster LabelColumnSelect Here theCluster Reference Rowfor MISSING VALUESEnd your Loopwith this nodeto concatenate backall the rows ofyour Test DatasetConvert the Modelinto a Cell Formatto be able to Store itin a TableRecover theModel from CellApply sameMissing Valuesto Test DatasetAdd a Columnwith CurrentCluster NameYour Training DatasetwithMissing ValuesCalculated & ReplacedYour Test DatasetwithMissing ValuesReplaced basedon Training SetCalculated ValuesYour Missing ValuesModelsSpecific to ClustersGroup Loop Start Missing Value Partitioning Table Reader(deprecated) k-Means Loop End (2 ports) Group Loop Start ReferenceRow Filter Loop End Model to Cell Cell To Model Missing Value(Apply) ConstantValue Column InteractiveTable (local) InteractiveTable (local) InteractiveTable (local) Group byCluster LabelColumnFill Missing Valuesin every Columnbased onAverage or MedianColumn ValuesSplit Data intoTrainingand Test SetsLoad irisdata asDummy DataLet's imagine thatthis node generatedyour initial k-means vectorsEnd your Loopwith this nodeto concatenate backall the rows ofyour Training Datasetand all the rowsof your DesiredMissing ValuesGroup byCluster LabelColumnSelect Here theCluster Reference Rowfor MISSING VALUESEnd your Loopwith this nodeto concatenate backall the rows ofyour Test DatasetConvert the Modelinto a Cell Formatto be able to Store itin a TableRecover theModel from CellApply sameMissing Valuesto Test DatasetAdd a Columnwith CurrentCluster NameYour Training DatasetwithMissing ValuesCalculated & ReplacedYour Test DatasetwithMissing ValuesReplaced basedon Training SetCalculated ValuesYour Missing ValuesModelsSpecific to ClustersGroup Loop Start Missing Value Partitioning Table Reader(deprecated) k-Means Loop End (2 ports) Group Loop Start ReferenceRow Filter Loop End Model to Cell Cell To Model Missing Value(Apply) ConstantValue Column InteractiveTable (local) InteractiveTable (local) InteractiveTable (local)

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Created by: Molina
Created at: 2021-06-23
On NodePit since: 2023-02-28
Last update: 2024-05-01
Created with KNIME version: v4.4.1

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