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MATLAB implements K-means such that a solution is chosen with cases surrounding the optimum cluster centroids.
MATLAB implements K-means such that a solution is chosen with cases surrounding the optimum cluster centroids.
Solution with minimum average distance to these centroids is selected
In a single tier classification, the number of clusters is key…
Comparison of silhouette plot data enables the choice of the most appropriate number of clusters k