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3. Results shows the number of clusters versus the sum of SSE or inertia, which measures the distance between the data points and the centroid of their respective clusters. In the plot, one can identify the inflection point, or the “bend”, in the curve, where the reduction in squared error begins to decrease significantly. This plot suggests that the optimal number of clusters needed to construct the driving cycle is 3.
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