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K-Nearest Neighbor (K-NN) is a classification algorithm that determines the label of some data point based on the most common label of the closest k other points.

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How to calculate the silhouette coefficient?

a(i) : the average distance between 'i' and all other data within the same cluster (source) b(i) : the lowest average distance of 'i' to all points in any other cluster, of which 'i' is not a member …
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