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02_​Performing_​a_​k-Medoids_​Clustering

Workflow

Performing a k-Medoids clustering
This workflow shows how to perform a clustering of the iris dataset using the k-Medoids node.
clustering k-Medoids machine learning data mining
Performing a k-Medoids Clustering This workflow shows how to cluster the irisdataset with the k-Medoids node. Visualization Perform clustering using a Distance Matrix Perform clustering using a Distance Measure Visualization assign colorsto classesassign shapeto clusterscreate scatterplotload datasearch for three clusterscreate distancemeasurecalculate distancematrixsearch for three clusterscreate scatterplotassign shapeto clustersassign colorsto classes Color Manager Shape Manager Scatter Plot Table Reader k-Medoids Numeric Distances Distance MatrixCalculate k-Medoids Scatter Plot Shape Manager Color Manager Performing a k-Medoids Clustering This workflow shows how to cluster the irisdataset with the k-Medoids node. Visualization Perform clustering using a Distance Matrix Perform clustering using a Distance Measure Visualization assign colorsto classesassign shapeto clusterscreate scatterplotload datasearch for three clusterscreate distancemeasurecalculate distancematrixsearch for three clusterscreate scatterplotassign shapeto clustersassign colorsto classes Color Manager Shape Manager Scatter Plot Table Reader k-Medoids Numeric Distances Distance MatrixCalculate k-Medoids Scatter Plot Shape Manager Color Manager

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Nodes

02_​Performing_​a_​k-Medoids_​Clustering consists of the following 11 nodes(s):

Plugins

02_​Performing_​a_​k-Medoids_​Clustering contains nodes provided by the following 2 plugin(s):