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The KElbow implements the “elbow” method to help data scientists select the optimal number of clusters by fitting the model with a range of values for 𝐾. If the line chart resembles an arm, then the “elbow” (the point of inflection on the curve) is a good indication that the underlying model fits best at that point. In the visualizer “elbow” will be annotated with a dashed line.