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k-Medoid clustering

This scatter plot sample is used to illustrate the k-medoid clustering algorithm. "The k-medoids algorithm is a clustering algorithm related to the k-means algorithm and the medoidshift algorithm. Both the k-means and k-medoids algorithms are partitional (breaking the dataset up into groups) and both attempt to minimize the distance between points labeled to be in a cluster and a point designated as the center of that cluster." [en.wikipedia.org/wiki/K-medoids] The scatterplot example "k-Medoid clustering" was created using the ConceptDraw PRO diagramming and vector drawing software extended with the Basic Scatter Diagrams solution from the Graphs and Charts area of ConceptDraw Solution Park.
Scatterplot
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