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AutoML_​Clustering_​K-Means

Simple AutoML Clustering for K-Means

The Iris dataset used to show simple example of Verified Component "Optimized (K-Means (Silhouette Coefficient)".

URL: Optimized K-Means (Silhouette Coefficient) - KNIME Hub https://kni.me/c/XCtuVNVeuqHSQkqk
URL: Verified Components - KNIME.com https://www.knime.com/verified-components

optimizing kbetween 3 and 6default: iris dataset(3 classes of flowers)(optionally) Right Click > Execute and Open Viewapplying best cluster modelfound on partitioned dataconfigured on Iris datasetRight Click > Execute and Open Viewk-meansdoes not supportmissing valuesOptimized K-Means(Silhouette Coefficient) ExtractColumn Header Insert ColumnHeader Transpose Data Access View Partitioning Cluster Assigner Results Dashboard Missing Value optimizing kbetween 3 and 6default: iris dataset(3 classes of flowers)(optionally) Right Click > Execute and Open Viewapplying best cluster modelfound on partitioned dataconfigured on Iris datasetRight Click > Execute and Open Viewk-meansdoes not supportmissing valuesOptimized K-Means(Silhouette Coefficient) ExtractColumn Header Insert ColumnHeader Transpose Data Access View Partitioning Cluster Assigner Results Dashboard Missing Value

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To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: paolotamag
Created at: 2020-12-15
On NodePit since: 2024-04-23
Last update: 2026-01-27
Created with KNIME version: v5.2.3
Tags: SilhouetteK-MeansAutoML

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