Icon

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

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: rohee
Created at: 2021-12-10
On NodePit since: 2021-12-13
Last update: 2024-04-27
Created with KNIME version: v4.5.0
Tags: K-meanspca

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

Try NodePit Runner!