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Knime_​Challenge_​Workflow

2-D Projection of Clustered Data
The three datasets are clustered using K-Meanswhere K and the maximum number of iterationscan be set via the component dialog box. Theclustered data are then reduced to 2 dimensionsand visualized using a scatter plot. The datasets are stored in therelative path of this workflowSensor DataMarketing AnalyticsBag of Words 2-D Projection ofClustered Data Table Reader CSV Reader Excel Reader 2-D Projection ofClustered Data 2-D Projection ofClustered Data The three datasets are clustered using K-Meanswhere K and the maximum number of iterationscan be set via the component dialog box. Theclustered data are then reduced to 2 dimensionsand visualized using a scatter plot. The datasets are stored in therelative path of this workflowSensor DataMarketing AnalyticsBag of Words 2-D Projection ofClustered Data Table Reader CSV Reader Excel Reader 2-D Projection ofClustered Data 2-D Projection ofClustered Data

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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: rohee
Created at: 2021-12-10
On NodePit since: 2021-12-13
Last update: 2024-11-21
Created with KNIME version: v4.5.0
Tags: K-meanspca

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